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  • Statistics In Transition

 

Article | 03-March-2021

A new family of robust regression estimators utilizing robust regression tools and supplementary attributes

Zaman and Bulut (2018a) developed a class of estimators for a population mean utilising LMS robust regression and supplementary attributes. In this paper, a family of estimators is proposed, based on the adaptation of the estimators presented by Zaman (2019), followed by the introduction of a new family of regression-type estimators utilising robust regression tools (LAD, H-M, LMS, H-MM, Hampel-M, Tukey-M, LTS) and supplementary attributes. The mean square error expressions of the adapted and

Irsa Sajjad, Muhammad Hanif, Nursel Koyuncu, Usman Shahzad, Nadia H. Al-Noor

Statistics in Transition New Series, Volume 22 , ISSUE 1, 207–216

Article | 06-July-2017

ON MEASURING INCOME POLARIZATION: AN APPROACH BASED ON REGRESSION TREES

This article proposes the application of regression trees for analysing income polarization. Using an approach to polarization based on the analysis of variance, we show that regression trees can uncover groups of homogeneous income receivers in a data-driven way. The regression tree can deal with nonlinear relationships between income and the characteristics of income receivers, and it can detect which characteristics and their interactions actually play a role in explaining income

Mauro Mussini

Statistics in Transition New Series, Volume 17 , ISSUE 2, 221–236

Research Article | 20-November-2017

AN APPLICATION OF FUNCTIONAL MULTIVARIATE REGRESSION MODEL TO MULTICLASS CLASSIFICATION

In this paper, the scale response functional multivariate regression model is considered. By using the basis functions representation of functional predictors and regression coefficients, this model is rewritten as a multivariate regression model. This representation of the functional multivariate regression model is used for multiclass classification for multivariate functional data. Computational experiments performed on real labelled data sets demonstrate the effectiveness of the proposed

Mirosław Krzyśko, Łukasz Smaga

Statistics in Transition New Series, Volume 18 , ISSUE 3, 433–442

Research paper | 31-October-2017

ROBUST REGRESSION IN MONTHLY BUSINESS SURVEY

alternative techniques of estimation, less sensitive to outliers, have been proposed in the statistical literature. In this paper we attempt to apply and assess some robust regression methods (LTS, M estimation, S-estimation, MM-estimation) in the business survey conducted within the framework of official statistics.

Grażyna Dehnel

Statistics in Transition New Series, Volume 16 , ISSUE 1, 137–152

Article | 06-July-2017

LOCALLY REGULARIZED LINEAR REGRESSION IN THE VALUATION OF REAL ESTATE

Regression methods are used for the valuation of real estate in the comparative approach. The basis for the valuation is a data set of similar properties, for which sales transactions were concluded within a short period of time. Large and standardized databases, which meet the requirements of the Polish Financial Supervision Authority, are created in Poland and used by the banks involved in mortgage lending, for example. We assume that in the case of large data sets of transactions, it is more

Mariusz Kubus

Statistics in Transition New Series, Volume 17 , ISSUE 3, 515–524

Research Article | 01-September-2017

HYBRID DATA APPROACH FOR SELECTING EFFECTIVE TEST CASES DURING THE REGRESSION TESTING

In the software industry, software testing becomes more important in the entire software development life cycle. Software testing is one of the fundamental components of software quality assurances. Software Testing Life Cycle (STLC)is a process involved in testing the complete software, which includes Regression Testing, Unit Testing, Smoke Testing, Integration Testing, Interface Testing, System Testing & etc. In the STLC of Regression testing, test case selection is one of the most important

M. Mohan, Tarun Shrimali

International Journal on Smart Sensing and Intelligent Systems, Volume 10 , ISSUE 5, 1–24

Article | 22-July-2019

EFFICIENT TWO-PARAMETER ESTIMATOR IN LINEAR REGRESSION MODEL

In this article, two-parameter estimators in linear model with multicollinearity are considered. An alternative efficient two-parameter estimator is proposed and its properties are examined. Furthermore, this was compared with the ordinary least squares (OLS) estimator and ordinary ridge regression (ORR) estimators. Also, using the mean squares error criterion the proposed estimator performs more efficiently than OLS estimator, ORR estimator and other reviewed two-parameter estimators. A

Ashok V. Dorugade

Statistics in Transition New Series, Volume 20 , ISSUE 2, 173–185

Research paper | 31-October-2017

CLASSIFICATION PROBLEMS BASED ON REGRESSION MODELS FOR MULTI-DIMENSIONAL FUNCTIONAL DATA

Data in the form of a continuous vector function on a given interval are referred to as multivariate functional data. These data are treated as realizations of multivariate random processes. We use multivariate functional regression techniques for the classification of multivariate functional data. The approaches discussed are illustrated with an application to two real data sets.

Tomasz Górecki, Mirosław Krzyśko, Waldemar Wołyński

Statistics in Transition New Series, Volume 16 , ISSUE 1, 97–110

Article | 06-July-2017

DECOMPOSITION OF DIFFERENCES IN INCOME DISTRIBUTIONS USING QUANTILE REGRESSION

The paper deals with microeconometric techniques useful for the study of differences between groups of objects, methods that go beyond simple comparison of average values. Techniques for the decomposition of differences in distributions by constructing counterfactual distributions were considered. Using the Machado-Mata quantile regression approach the empirical decomposition of the inequalities in income distributions of one-person households in urban and rural areas was performed. We employed

Joanna Małgorzata Landmesser

Statistics in Transition New Series, Volume 17 , ISSUE 2, 331–348

Research Article | 20-November-2017

STACKED REGRESSION WITH A GENERALIZATION OF THE MOORE-PENROSE PSEUDOINVERSE

In practice, it often happens that there are a number of classification methods. We are not able to clearly determine which method is optimal. We propose a combined method that allows us to consolidate information from multiple sources in a better classifier. Stacked regression (SR) is a method for forming linear combinations of different classifiers to give improved classification accuracy. The Moore-Penrose (MP) pseudoinverse is a general way to find the solution to a system of linear

Tomasz Górecki, Maciej Łuczak

Statistics in Transition New Series, Volume 18 , ISSUE 3, 443–458

Research Article | 08-December-2021

A new extension of Odd Half-Cauchy Family of Distributions: properties and applications with regression modeling

up with simulation experiments aiming to asses their performances. Real life applications of modeling two data sets are presented to demonstrate the advantage of the proposed family of distributions over selected existing ones. Finally, a new regression model is proposed and its application in modeling data in the presence of covariates is presented.

Subrata Chakraburty, Morad Alizadeh, Laba Handique, Emrah Altun, G. G. Hamedani

Statistics in Transition New Series, Volume 22 , ISSUE 4, 77–100

Research Article | 01-June-2020

Count copula regression model using generalized beta distribution of the second kind

Modelling claims severity for obtaining insurance premium is one of the major concerns of the insurance industry. There is a considerable amount of literature on the actuarial application of the copula model to calculate the pure premium. In this paper, we model claims severity for computing the pure premium in the collision market by means of the count copula model. Moreover, we apply a regression model using a generalized beta distribution of the second kind (GB2) to compute the premium for

Hadi Safari-Katesari, Samira Zaroudi

Statistics in Transition New Series, Volume 21 , ISSUE 2, 1–12

Research paper | 31-October-2017

MULTINOMIAL LOGISTIC REGRESSION APPROACH FOR THE EVALUATION OF BINARY DIAGNOSTIC TEST IN MEDICAL RESEARCH

Evaluating the effect of variables on diagnostic measures (sensitivity, specificity, positive, and negative predictive values) is often of interest to clinical researchers. Logistic regression (LR) models can be used to predict diagnostic measures of a screening test. A marginal model framework using generalized estimating equation (GEE) with logit/log link can be used to compare the diagnostic measures between two or more screening tests. These individual modeling approaches to each diagnostic

Alok Kumar Dwivedi, Indika Mallawaarachchi, Juan B. Figueroa-Casas, Angel M. Morales, Patrick Tarwater

Statistics in Transition New Series, Volume 16 , ISSUE 2, 203–222

Research paper | 31-October-2017

RATIO-TO-REGRESSION ESTIMATOR IN SUCCESSIVE SAMPLING USING ONE AUXILIARY VARIABLE

The problem of estimation of finite population mean on the current occasion based on the samples selected over two occasions has been considered. In this paper, first a chain ratio-to-regression estimator was proposed to estimate the population mean on the current occasion in two-occasion successive (rotation) sampling using only the matched part and one auxiliary variable, which is available in both the occasions. The bias and mean square error of the proposed estimator is obtained. We

Zoramthanga Ralte, Gitasree Das

Statistics in Transition New Series, Volume 16 , ISSUE 2, 183–202

Article | 31-December-2020

APPLICATION OF THE LOGISTIC REGRESSION MODEL TO ASSESS THE RISK OF DEATH IN ROAD TRAFFIC ACCIDENTS IN THE MAZOWIECKIE VOIVODESHIP

the highest mortality rates gathered for the period 2016-2018. Owing to the dichotomous form of the studied variable, logistic regression was used. Estimated model parameters and calculated odds ratios allowed to assess the effect of selected factors on road traffic mortality rate. As significant, the type of the perpetrator and the traffic participant, sex and age of the victim, road lighting, and the driver’s experience were selected. It was assessed that pedestrians are the group most

Anna BORUCKA, Małgorzata GRZELAK, Andrzej ŚWIDERSKI

Transport Problems, Volume 15 , ISSUE 4, Part 1, 125–136

Research Article | 20-November-2017

AN ADDITIVE RISKS REGRESSION MODEL FOR MIDDLE-CENSORED LIFETIME DATA

Middle-censoring refers to data arising in situations where the exact lifetime of study subjects becomes unobservable if it happens to fall in a random censoring interval. In the present paper we propose a semiparametric additive risks regression model for analysing middle-censored lifetime data arising from an unknown population. We estimate the regression parameters and the unknown baseline survival function by two different methods. The first method uses the martingale-based theory and the

P. G. Sankaran, S. Prasad

Statistics in Transition New Series, Volume 18 , ISSUE 3, 459–479

Article | 07-July-2017

M-ESTIMATORS IN BUSINESS STATISTICS

Recent years have seen a dynamic development in statistical methods for analysing data contaminated with outliers. One of the more important techniques that can deal with outlying observations is robust regression, which represents four decades of research. Until recently the implementation of robust regression methods, such as M-estimation or MM-estimation, was limited owing to their iterative nature. With advances in computing power and the growing availability of statistical packages, such

Grażyna Dehnel

Statistics in Transition New Series, Volume 17 , ISSUE 4, 749–762

Article | 06-July-2017

INFORMATIVE VERSUS NON-INFORMATIVE PRIOR DISTRIBUTIONS AND THEIR IMPACT ON THE ACCURACY OF BAYESIAN INFERENCE

In this study the benefits arising from the use of the Bayesian approach to predictive modelling will be outlined and exemplified by a linear regression model and a logistic regression model. The impact of informative and non-informative prior on model accuracy will be examined and compared. The data from the Central Statistical Office of Poland describing unemployment in individual districts in Poland will be used. Markov Chain Monte Carlo methods (MCMC) will be employed in modelling.

Wioletta Grzenda

Statistics in Transition New Series, Volume 17 , ISSUE 4, 763–780

Article | 26-May-2019

SURVIVAL REGRESSION MODELS FOR SINGLE EVENTS AND COMPETING RISKS BASED ON PSEUDOOBSERVATIONS

models to be used.  In this paper, a pseudo-observation approach was applied to single-event and competing-risks analysis, with special attention paid to the properties of the pseudo-observations. In the empirical part of the study, the use of regression models based on pseudo-observations in credit-risk assessment was investigated. Default, defined as a delay in payment, was considered to be the event of interest, while prepayment of credit was treated as a possible competing risk. Credits that

Ewa Wycinka, Tomasz Jurkiewicz

Statistics in Transition New Series, Volume 20 , ISSUE 1, 171–188

Article | 01-June-2015

A NOVEL KNOWLEDGE-COMPATIBILITY BENCHMARKER FOR SEMANTIC SEGMENTATION

The quality of a semantic annotation is typically measured with its averaged class-accuracy value, whose computation requires scarce ground-truth annotations. We observe that humans accumulate knowledge through their vision and believe that the quality of a semantic annotation is proportionally related to its compatibility with the vision-based knowledge. We propose a knowledge-compatibility benchmarker, whose backbone is a regression machine. It takes as input a semantic annotation and the

Vektor Dewanto, Aprinaldi, Zulfikar Ian, Wisnu Jatmiko

International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 2, 1284–1312

Article | 06-July-2017

A NEW MEDIAN BASED RATIO ESTIMATOR FOR ESTIMATION OF THE FINITE POPULATION MEAN

The present paper deals with a new median based ratio estimator for the estimation of finite population means in the absence of an auxiliary variable. The bias and mean squared error of the proposed median based ratio estimator are obtained. The performance of the median based ratio estimator is compared with that of the SRSWOR sample mean, ratio estimator and linear regression estimator for certain natural population. It is shown from the numerical comparisons that the proposed median based

J. Subramani

Statistics in Transition New Series, Volume 17 , ISSUE 4, 591–604

Research Article | 08-December-2021

Agu-Eghwerido distribution, regression model and applications

Friday Ikechukwu Agu, Joseph Thomas Eghwerido

Statistics in Transition New Series, Volume 22 , ISSUE 4, 59–76

research-article | 30-November-2018

Impact of Globodera ellingtonae on yield of potato (Solanum tuberosum)

tuber was weighed individually. A two-way analysis of variance (ANOVA) with trial, Pi and trial × Pi was used to test for difference in mean yields, aboveground biomass, tuber number, and individual tuber weight, followed by a Tukey’s honest significant difference (HSD) test for pairwise comparisons; since trial was not significant in the model, data from the trials were combined for presentation. To test for a relationship between Pi and tuber yield and Pi and aboveground biomass, linear regression

Inga A. Zasada, Russell E. Ingham, Hannah Baker, Wendy S. Phillips

journal of nematology, Volume 51 , 1–10

Article | 01-March-2016

HIGH PRECISION TARGET LOCALIZATION METHOD BASED ON COMPENSATION OF ATTITUDE ANGLE ERRORS

prediction model to compensate each platform and aircraft attitude error is derived by analyzing the error distribution and polynomial regression. Afterwards, because of the limit of the UAV aerial image amount and the similar influence of each attitude angle error on targeting and geometric correction, we use equivalent optical axis angle to represent platform and aircraft attitudes. Furthermore, we also predict and compensate the error of the equivalent angle. In this process, we adopt SVM and

Jialiang LIU, Wenrui Ding, Hongguang Li

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 1, 169–190

Research Article | 13-December-2018

DEALING WITH HETEROSKEDASTICITY WITHIN  THE MODELING OF THE QUALITY OF LIFE  OF OLDER PEOPLE

Using the estimation method of ordinary least squares leads to unreliable results in the case of heteroskedastic linear regression model. Other estimation methods are described, including weighted least squares, division of the sample and heteroskedasticity-consistent covariance matrix estimators, all of which can give estimators with better properties than ordinary least squares. The methods are presented giving the example of modelling quality of life of older people, based on a data set from

Katarzyna Jabłońska

Statistics in Transition New Series, Volume 19 , ISSUE 3, 423–452

Article | 01-December-2015

ROBOTIC ADAPTIVE IMPEDANCE CONTROL BASED ON VISUAL GUIDANCE

Uncalibrated visual servoing based on SVR-Jacobian estimator is proposed in unknown environment. Multiple support vector regression (SVR) machines are used to estimate the Jacobian matrix of images,and the nonlinear mapping between the image features of the curved line and the robot joint angle is constructed, uncalibrated robot impedance control can be carried out.Image Jacobian matrix expression with Gaussian kernel is put forward, the effectiveness of the presented approach is verified by

Li Erchao, Li Zhanming, He Junxue

International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 4, 2159–2174

Article | 13-December-2019

A NEW RATIO ESTIMATOR: AN ALTERNATIVE TO REGRESSION ESTIMATOR IN SURVEY SAMPLING USING AUXILIARY INFORMATION

numerical comparison has shown the suggested estimator to be more efficient than some existing ones. The bias of the suggested estimator is also found to be negligible for the population under consideration, indicating that the estimator is as good the regression estimator and better than the other estimators under consideration.

Mir Subzar, S. Maqbool, T. A. Raja, Prayas Sharma

Statistics in Transition New Series, Volume 20 , ISSUE 4, 181–189

Article | 20-December-2020

Some linear regression type ratio exponential estimators for estimating the population mean based on quartile deviation and deciles

This paper deals some linear regression type ratio exponential estimators for estimating the population mean using the known values of quartile deviation and deciles of an auxiliary variable in survey sampling. The expressions of the bias and the mean square error of the suggested estimators have been derived. It was compared with the usual mean, usual ratio (Cochran (1977)), Kadilar and Cingi (2004, 2006) and Subzar et al. (2017) estimators. After comparison, the condition which makes the

Shakti Prasad

Statistics in Transition New Series, Volume 21 , ISSUE 5, 85–98

Research Article | 03-March-2021

An application of a complex measure to model–based imputation in business statistics

similar techniques: ratio imputation, regression imputation, regression imputation with iteration, predictive mean matching and the propensity score method. The second study presented in the paper involved a simulation of missing data using IT business data from the California State University in Los Angeles, USA. The results show that models with a strong dependence on functional form assumptions can be improved by using a complex measure to summarize the predictor variables rather than the variables

Andrzej Młodak

Statistics in Transition New Series, Volume 22 , ISSUE 1, 1–28

Research Article | 13-December-2018

THE ROLE OF BREASTFEEDING VIS-À-VIS CONTRACEPTIVE USE ON BIRTH SPACING IN INDIA: A REGIONAL ANALYSIS

regression analysis in India and its regions. The results show that if women were not having amenorrhea period and had a high level of breastfeeding, the chance of not having next live birth was only two percent lower than those women who were using spacing methods in India. This pattern was found to be almost similar in all the regions of India except central and southern regions. There is no significant gain in postponing the next live birth has been observed in using the contraceptives than

Laxmi Kant Dwivedi

Statistics in Transition New Series, Volume 19 , ISSUE 3, 407–431

Article | 28-August-2018

ESTIMATION OF THE SEASONAL DEMAND FOR COOLING BASED ON THE SHORT-TERM DATA

The paper analyzes the possibility of using the energy signature method based on the linear regression to determine the seasonal energy demand for cooling and ventilation in the office building. The “extended” energy signature method (H-m method) was described and applied. In accordance with Standard (EN 15603) the estimation of energy consumption for cooling can be performed for a period shorter than the entire season, but data range must be appropriate to obtain the correct accuracy of the

Dorota BARTOSZ, Aleksandra SPECJAŁ

Architecture, Civil Engineering, Environment, Volume 10 , ISSUE 2, 133–143

Article | 27-May-2019

ON THE SMOOTHED PARAMETRIC ESTIMATION OF MIXING PROPORTION UNDER FIXED DESIGN REGRESSION MODEL

Y. S. Ramakrishnaiah, Manish Trivedi, Konda Satish

Statistics in Transition New Series, Volume 20 , ISSUE 1, 87–102

Article | 31-December-2020

ASSESSMENT OF THE INFLUENCE OF SELECTED FACTORS ON THE PUNCTUALITY OF AN URBAN TRANSPORT FLEET

Urban transport systems operate according to fixed, strict timetables, which requires high timeliness and technical readiness of the fleet. Therefore, this article proposes a detailed study of the punctuality of the public transport system using a multiple regression model for the main modes of transport (trams, buses, and Warsaw Metro). The analysis made it possible to go beyond the framework of the overall assessment and to identify the factors that have a significant effect on the

Małgorzata GRZELAK, Anna BORUCKA, Andrzej ŚWIDERSKI

Transport Problems, Volume 15 , ISSUE 4, Part 2, 311–323

Article | 11-March-2018

MODELLING THE RANKING OF LITHUANIAN RAILWAYS LEVEL CROSSING BY SAFETY LEVEL

railway crossing, and the maximum speed of trains. Applying the binary model of logistic regression, the probability of accidents at the 337 railway crossings of the country was calculated. Depending on the degree of risk or the probability of accident, the country's railway crossings are ranked. The most dangerous crossings of four regions in the country were identified. Finally, the main conclusions and recommendations are presented.

Gintautas BUREIKA, Marek KOMAIŠKO, Virgilijus JASTREMSKAS

Transport Problems, Volume 12 , ISSUE SE, 11–22

Article | 15-March-2019

BAYESIAN SPATIAL ANALYSIS OF CHRONIC DISEASES IN ELDERLY CHINESE PEOPLE USING A STAR MODEL

Chronic diseases have become important factors affecting the health of elderly Chinese people. Because the prevalence of chronic diseases varies among the provinces, it is necessary to understand the spatial effects on these diseases, as well as their relationships with potential risk factors. This study applies a structured additive regression model and the R2BayesX package to conduct a Bayesian analysis. The data are taken from the 2000, 2006, and 2010 Chinese Urban and Rural Elderly

Ping Gao, Hikaru Hasegawa

Statistics in Transition New Series, Volume 19 , ISSUE 4, 645–670

Article | 08-December-2019

DEVELOPMENT OF A LOW-COST MEASUREMENT SYSTEM TO DETERMINE 3-DIMENSIONAL PEDAL LOADS DURING IN-SITU CYCLING

calibrated with the Global Regression method acquiring a calibration matrix with a standard error percentage of full scale of maximum 0.5%. The instrumented pedal distinguishes itself from state-of-the-art techniques through (i) compatibility: it fits on every conventional bicycle, (ii) compactness: not influencing the cycling kinematics, (iii) broad applicability: it is applicable for in-situ measurements with extreme manoeuvres and (iv) accuracy: it delivers a relative high accuracy in relation to the

Sien DIELTIENS, Jordi D’HONDT, Marc JUWET, Mark VERSTEYHE

Transport Problems, Volume 14 , ISSUE 4, 151–160

Article | 04-November-2019

RESEARCH ON RELATIONSHIP BETWEEN FREIGHT TRANSPORT AND TRANSPORT INFRASTRUCTURE IN SELECTED EUROPEAN COUNTRIES

The article deals with research on the relationship between the performance of road and rail freight transport and transport infrastructure in EU countries. The authors of the article examined the relationship between transport performance and transport infrastructure by correlation and regression analyses. Verification of the statistical significance of the regression model was also performed. The main objective of the contribution is to find out what are the relationships and influences

Jozef GNAP, Pavol VARJAN, Pavol ĎURANA, Mariusz KOSTRZEWSKI

Transport Problems, Volume 14 , ISSUE 3, 63–74

Article | 26-May-2019

AN ALTERNATIVE MATRIX TRANSFORMATION TO THE F TEST STATISTIC FOR CLUSTERED DATA

For the regression analysis of clustered data, the error of cluster data violates the independence assumption. Consequently, the test statistic based on the ordinary least square method leads to incorrect inferences. To overcome this issue,the transformation is required to apply to the observations. In this paper we propose an alternative matrix transformation that adjusts the intra-cluster correlation with Householder matrix and apply it to the F test statistic based on generalized least

Sukanya Intarapak, Thidaporn Supapakorn

Statistics in Transition New Series, Volume 20 , ISSUE 1, 153–174

Research Article | 27-December-2017

Hybrid Intelligent Method of Identifying Stator Resistance of Motorized Spindle

Aiming at the problem that changes of nonlinear dynamic resistance of stator affect the performance of speed sensorless vector control system, a hybrid computing intelligence approach is used in the identification of stator resistance of motorized spindle. The partial least squares (PLS) regression is combined with neural network to solve the problem of few samples and multi-correlation of variables in complicated data modeling. The PLS method is used to extract variable components from sample

Lixiu Zhang, Yuhou Wu, Ke Zhang

International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 2, 781–797

Research Article | 23-July-2018

A NEW METHOD FOR COVARIATE SELECTION IN COX MODEL

In a wide spectrum of natural and social sciences, very often one encounters a large number of predictors for time to event data. An important task is to select right ones, and thereafter carry out the analysis. The l1 penalized regression, known as “least absolute shrinkage and selection operator" (LASSO) became a popular approach for predictor selection in last two decades. The LASSO regression involves a penalizing parameter (commonly denoted by l) which controls the extent of

Ujjwal Das, Nader Ebrahimi

Statistics in Transition New Series, Volume 19 , ISSUE 2, 297–314

research-article | 30-November-2020

The effects of perceived discrimination, social support and ethnic identity on mental health of immigrant adolescents

emotional problems, and depression (d) peer attachment (to both Syrian and Turkish peers) will negatively affect emotional problems and depression. To test these hypotheses, two hierarchical regression models were used. Method Procedure Data for this study were collected from Syrian immigrant adolescents. Both ethical permissions for the study and the consent of school principals were obtained before the study. Parental consent form (in Arabic and Turkish) was sent to the homes, and none refused

Derya Atalan Ergin

Scandinavian Journal of Child and Adolescent Psychiatry and Psychology, Volume 9 , 127–136

Article | 15-September-2020

Effective transformation-based variable selection under two-fold subarea models in small area estimation

We present a simple yet effective variable selection method for the two-fold nested subarea model, which generalizes the widely-used Fay-Herriot area model. The twofold subarea model consists of a sampling model and a linking model, which has a nested-error model structure but with unobserved responses. To select variables under the two-fold subarea model, we first transform the linking model into a model with the structure of a regular regression model and unobserved responses. We then

Song Cai, J. N. K. Rao, Laura Dumitrescu, Golshid Chatrchi

Statistics in Transition New Series, Volume 21 , ISSUE 4, 68–83

Article | 24-December-2021

LNG MARKET AND FLEET ANALYSIS

Tatjana STANIVUK, Josip MAHIĆ, Ladislav STAZIĆ, Hana PERDIĆ-LUKAČEVIĆ

Transport Problems, Volume 16 , ISSUE 4, 173–183

Original Paper | 09-October-2019

Modeling alloantibody formation to highincidence red blood cell antigens in immune responders using genotypic data  

;, Immucor, Warren, NJ) was performed on all patient specimens referred for molecular testing over 45 months; serologic and clinical data were analyzed. We used simple and multiple logistic regression to model the risk factors for alloimmunization to an HIA. Of the 2591 patients genotyped, 32 (1.2%) were homozygous for at least one variant predicting absence of an HIA. Of these 32 patients, prior transfusion or pregnancy history was available for 29 (91%). Four susceptible patients made an antibody to an

Patricia A.R. Brunker, Keerthana Ravindran, R. Sue Shirey

Immunohematology, Volume 33 , ISSUE 1, 9–14

Research Article | 13-December-2019

GENERAL LINEAR MODEL: AN EFFECTIVE TOOL FOR ANALYSIS OF CLAIM SEVERITY IN MOTOR THIRD PARTY LIABILITY INSURANCE

The paper focuses on the analysis of claim severity in motor third party liability insurance under the general linear model. The general linear model combines the analyses of variance and regression and makes it possible to measure the influence of categorical factors as well as the numerical explanatory variables on the target variable. In the paper, simple, main and interaction effects of relevant factors have been quantified using estimated regression coefficients and least squares means

Erik Šoltés, Silvia Zelinová, Mária Bilíková

Statistics in Transition New Series, Volume 20 , ISSUE 4, 13–31

Article | 06-July-2017

A TWO-COMPONENT NORMAL MIXTURE ALTERNATIVE TO THE FAY-HERRIOT MODEL

This article considers a robust hierarchical Bayesian approach to deal with random effects of small area means when some of these effects assume extreme values, resulting in outliers. In the presence of outliers, the standard Fay-Herriot model, used for modeling area-level data, under normality assumptions of random effects may overestimate the random effects variance, thus providing less than ideal shrinkage towards the synthetic regression predictions and inhibiting the borrowing of

Adrijo Chakraborty, Gauri Sankar Datta, Abhyuday Mandal

Statistics in Transition New Series, Volume 17 , ISSUE 1, 67–90

Article | 26-June-2018

Using ERGMs to Disaggregate Displacement Cascades*

How do civilians select internal displacement destinations during conflict? Existing research emphasizes the value of cascades as a guide to making these difficult decisions. Cascades may involve civilians following people in their social networks (community cascades), people with similar characteristics (co-ethnic cascades), or the crowd in general (herd cascades). Analyses relying upon interview or regression-based methodological approaches face substantial challenges in identifying the

Justin Schon

Journal of Social Structure, Volume 19 , ISSUE 1, 1–40

Article | 05-September-2020

FACTORS THAT INFLUENCE LOGISTICS DECISION MAKING IN THE SUPPLY CHAIN OF THE AUTOMOTIVE INDUSTRY

in the organization of logistics processes. For this purpose, a statistical analysis was carried out on a sample of companies from the Slovenian automotive industry, which is one of the leading high-tech industries in the world. The results of multiple linear regression show that the greater the knowledge of logistics among the employees from other departments, the more logistics costs are taken into account during the development of the product. This is an important finding for the automotive

Sebastjan ŠKERLIČ

Transport Problems, Volume 15 , ISSUE 3, 117–126

Article | 17-July-2017

On the Performance of Some Biased Estimators in a Misspecified Model with Correlated Regressors

Abstract In this paper, the effect of misspecification due to omission of relevant variables on the dominance of the r − (k, d) class estimator proposed by Özkale (2012), over the ordinary least squares (OLS) estimator and some other competing estimators when some of the regressors in the linear regression model are correlated, have been studied with respect to the mean squared error criterion. A simulation study and numerical example have been demostrated to compare the performance of the

Shalini Chandra, Gargi Tyagi

Statistics in Transition New Series, Volume 18 , ISSUE 1, 27–52

Research Article | 12-December-2017

A LOW COST THREE-DIRECTIONAL FORCE SENSOR

performed to calculate calibration coefficients by using the regression analysis method and test linear property of the sensor.

S. Boukhenous

International Journal on Smart Sensing and Intelligent Systems, Volume 4 , ISSUE 1, 21–34

Article | 20-December-2020

Comparison of selected tests for univariate normality based on measures of moments

Univariate normality tests are typically classified into tests based on empirical distribution, moments, regression and correlation, and other. In this paper, power comparisons of nine normality tests based on measures of moments via the Monte Carlo simulations is extensively examined. The effects on power of the sample size, significance level, and on a number of alternative distributions are investigated. None of the considered tests proved uniformly most powerful for all types of alternative

Czesław Domański, Piotr Szczepocki

Statistics in Transition New Series, Volume 21 , ISSUE 5, 151–178

Article | 03-March-2021

Estimation of the number of residents included in a population frame

Danutė Krapavickaitė

Statistics in Transition New Series, Volume 22 , ISSUE 1, 197–206

Original Paper | 04-December-2017

Prevalence, Influencing Factors, Antibiotic Resistance, Toxin and Molecular Characteristics of Staphylococcus aureus and MRSA Nasal Carriage among Diabetic Population in the United States, 2001–2004

student t test, as appropriate. Multivariate analy­sis using logistic regression was conducted to assess the association between influencing factors and S. aureus and MRSA nasal carriage. 1010 diabetic participants were included in the study. The prevalence of S. aureus and MRSA nasal carriage were 28.32% and 1.09%, respec­tively. After the logistic regression, ever had a painful sensation or tingling in hands or feet past three months (Odds Ratio [OR] = 0.359, 95% Confidence Interval [CI], 0.146

Jialing Lin, Yang Peng, Chan Bai, Ting Zhang, Haoqu Zheng, Xiaojie Wang, Jiaping Ye, Xiaohua Ye, Ying Li, Zhenjiang Yao

Polish Journal of Microbiology, Volume 66 , ISSUE 4, 439–448

Article | 13-July-2020

Research on the Application of Convolutional Neural Networks in the Image Recognition

Gao Zhiyu, Liu Bailin, Gu Hongxian, Mu Jing

International Journal of Advanced Network, Monitoring and Controls, Volume 5 , ISSUE 2, 31–38

Article | 07-July-2017

TRADE PATTERN ON WARSAW STOCK EXCHANGE AND PREDICTION OF NUMBER OF TRADES

The main goal of this paper is to present the method for describing and predicting trade intensity on the Warsaw Stock Exchange. The approach is based on generalized linear models, the variable selection is performed using shrinkage methods such as the Lasso or Ridge regression. The variable under investigation is the number of trades of a particular stock 5-minute interval.The main conclusion is that the number of trades during short intervals is predictable in the sense that the prediction

Henryk Gurgul, Artur Machno

Statistics in Transition New Series, Volume 18 , ISSUE 1, 91–114

Article | 15-September-2020

An evaluation of design-based properties of different composite estimators

; for a complex setting like the CPS. We have not discussed this problem in this paper. Instead, we adapted the regression composite estimator used by Statistics Canada in the CPS setting. Unlike the estimated optimal estimators, the regression composite estimator does not require estimation of Σ and is less sensitive to the rotation group bias in our simulation study. Our study indicates that there is a great potential for regression composite estimation technique in improving estimation of

Daniel Bonnéry, Yang Cheng, Partha Lahiri

Statistics in Transition New Series, Volume 21 , ISSUE 4, 166–190

short-communication | 30-November-2018

Comparison of Performance Characteristics of DxN VERIS System versus Qiagen PCR for HBV Genotype D and HCV Genotype 1b Quantification

kits, Nyon, Switzerland) and Qiagen kits (artus HBV/HCV QS RGQ kit, Qiagen, Hilden, Germany) on the same day according to the manufacturer’s recommendations. DxN VERIS HBV/HCV assays have quantification ranges from 10–109 IU/ml and 12–108 IU/ml, respectively as it is stated in the package inserts. The relationship between VL quantifications measured by both DxN VERIS and Qiagen assays were analyzed by Passing-Bablok (PB) regression method. Bland Altman plot (BAP) design was used to calculate

MURAT SAYAN, AYSE ARIKAN, TAMER SANLIDAG

Polish Journal of Microbiology, Volume 68 , ISSUE 1, 139–143

Research Article | 30-November-2013

Exploring the Contribution of Parental Perceptions to Childhood Anxiety

= 44). In line with the findings from the literature that addresses externalizing disorders, parental sense of competence was significantly associated with childhood outcomes. Logistical regression suggested that paternal efficacy beliefs, acceptance, and maternal satisfaction were associated with an absence of clinical anxiety and lower levels of anxiety symptoms in children. Parental perceptions may thus provide an important area for understanding childhood anxiety.

Barbara H. Esbjørn, Ida D. Caspersen, Mikael J. Sømhovd, Sonja Breinholst, Marie Louise Reinholdt-Dunne

Scandinavian Journal of Child and Adolescent Psychiatry and Psychology, Volume 2 , ISSUE 3, 115–123

Article | 01-June-2016

NON INVASIVE ESTIMATION OF BLOOD UREA CONCENTRATION USING NEAR INFRARED SPECTROSCOPY

spectrometer. Based on the theoretical analysis the optimal wavelength of sensor is found to be 995nm for obtaining proper Photo plethysmograph (PPG). The regression analysis has been carried out on PPG signal with the artificial neural networks for obtaining a prediction model for estimating the blood urea concentration. The mean square error of prediction is found to be ± 2.23mg/dL.

Swathi Ramasahayam, Shubhajit Roy Chowdhury

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 2, 449–467

research-article | 23-April-2019

GERT MODEL OF A TECHNICAL STATION FOR DETERMINING THE PASSENGER TRAINSET DELAY

conditions. Appropriate regression functions of the duration of the service of coach/trainsets have been found depending on the type and number of carriages at technical stations taking into account technological features and technical constraints affecting their type (Figure 4, formula 19). The general model of station as a network model is valuable at the level of object theoretical description. It makes possible to get specific results that can be used successfully for practical applications. The

Mirena TODOROVA

Transport Problems, Volume 14 , ISSUE 1, 81–93

Article | 02-April-2020

Research on House Price Prediction Based on Multi-Dimensional Data Fusion

regression problems House price forecasting is a forecasting problem, and forecasting problems are regression analysis. This section aims to state the research methods of regression analysis. Regression analysis[3] is a method of statistically analyzing data. The purpose is to understand whether two or more variables are related, the direction, and strength of the correlation and establish a mathematical model to observe specific variables to predict the variables of interest to researchers. The roles in

Yonghui Yang

International Journal of Advanced Network, Monitoring and Controls, Volume 5 , ISSUE 1, 1–8

Research Article | 04-September-2019

COMPARATIVE ANALYSIS OF POVERTY IN FAMILIES WITH A DISABLED CHILD AND FAMILIES  WITH NON-DISABLED CHILDREN IN POLAND  IN THE YEARS 2014 AND 2016

Olga Komorowska, Arkadiusz Kozłowski, Teresa Słaby

Statistics in Transition New Series, Volume 20 , ISSUE 3, 97–117

Article | 30-July-2018

GENERATING AND MODELING OF BRAKING CURVE AND THE ASSESSMENT OF THE QUALITY OF AUTOMATIC STOPPING OF THE TRAIN

can be used to verify the effectiveness of the braking controller and the adjustment of the terms, and the change of these algorithms affects the shape of the generated braking curve of the train. It has been shown that the analysis of a failure of the propulsion car revealed the existence of a safe braking area. The performed statistical analysis confirmed the normal distribution of the scatter of braking results, for which the regression model fitted.

Jan Anuszczyk, Andrzej Gocek, Krzysztof Pacholski, Bartosz Dominikowski

Transport Problems, Volume 13 , ISSUE 2, 13–25

Article | 01-March-2016

VIBRATION BASED HEALTH MONITORING OF HONEYCOMB CORE SANDWICH PANELS USING SUPPORT VECTOR MACHINE

monitoring of these structures using support vector machine (SVM). The proposed technique is first used on simulated mode shape data of the structure and then the technique is validated using experimental mode shape data. The experimental set up has been developed in laboratory and Laser Doppler Vibrometer (LDV) is used to extract the experimental mode shapes. The results have been obtained using both support vector classification and regression analysis and it is found that that the former is better at

Saurabh Gupta, Satish B Satpal, Sauvik Banerjee, Anirban Guha

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 1, 215–232

research-article | 15-October-2020

Commentary: How to do personal network surveys: from name generators to statistical modeling

research. It systematically presents the strategies to estimate the size of personal networks. Finally, it describes how to fit statistical analysis to relational data, including regression models, multi-level models, and longitudinal models. Consequently, these are three books that complement each other. With these three volumes, the reader can have a comprehensive and updated overview of the study of the structure of personal networks. Below we focus on evaluating two of the fundamental contributions

Isidro Maya-Jariego

Connections: The Quarterly Journal, Volume 40 , ISSUE 1, 98–102

Article | 24-June-2021

COMMUNITY PARTICIPATION FOR DEVELOPING RURAL TRANSPORT INFRASTRUCTURE IN DONG NAI PROVINCE, VIETNAM

study owing to its high requirement of rural transport infrastructure. Questionnaires were sent to 438 households. An analysis of data was performed descriptively and with logistic regression. Community participation was recorded as financial, labor, material, and land contribution. Household composition, education, income, and member in household as community leader are among the highest influential factors to community participation. With the importance of community participation, the results of

Dinh Tuan HAI, Nguyen Xuan QUYET, Duc Anh NGUYEN

Transport Problems, Volume 16 , ISSUE 2, 45–57

research-article | 30-November-2020

Axillary adenopathy after COVID-19 vaccine in patients undergoing breast ultrasound

and histiocytes in hematoxylin-eosin staining) The other five patients had no history of cancer. In cases of negative personal history of breast cancer, the radiologist assigned BIRADS 3 (a finding placed in this BI-RADS category should have less than 2% risk of malignancy) and suggested that patients should return for a short-term follow-up targeted ultrasound (after 4–8 week) of the axilla. The follow-up demonstrated regression of enlarged lymph nodes in these patients (Fig. 2). Fig. 2

Sara De Giorgis, Alessandro Garlaschi, Nicole Brunetti, Simona Tosto, Giuseppe Rescinito, Francesco Monetti, Claudio Oddone, Barbara Massa, Francesca Pitto, Massimo Calabrese, Alberto Stefano Tagliafico

Journal of Ultrasonography, Volume 21 , ISSUE 87, 361–364

Article | 06-July-2017

VARIATIONAL APPROXIMATIONS FOR SELECTING HIERARCHICAL MODELS OF CIRCULAR DATA IN A SMALL AREA ESTIMATION APPLICATION

We consider hierarchical regression models for circular data using the projected normal distribution, applied in the development of weights for the Access Point Angler Intercept Survey, a recreational angling survey conducted by the US National Marine Fisheries Service. Weighted estimates of recreational fish catch are used in stock assessments and fisheries regulation. The construction of the survey weights requires the distribution of daily departure times of anglers from fishing sites

Daniel Hernandez-Stumpfhauser, F. Jay Breidt, Jean D. Opsomer

Statistics in Transition New Series, Volume 17 , ISSUE 1, 91–104

Research paper | 15-January-2019

A relationship between brainstem auditory evoked potential and vagal control of heart rate in adult women

an audiometry examination, followed by rest for 10 minutes for HR recording. Next, ABR evaluation was completed discretely in both ears, with I, III and V wave components. Linear regression revealed that the root-mean square of differences between adjacent normal RR intervals (RMSSD) and the triangular interpolation of RR interval (TINN) exhibited a significant association with Wave I in the right ear. These variables contributed to 28.2% (R2) of Wave I. In conclusion, there was a significant

Ariany G. Silva, Ana Claúdia F. Frizzo, Eduardo F. B. Chagas, David M. Garner, Rodrigo D. Raimundo, Luiz Vinicius de Alcantara Sousa, Vitor E. Valenti

Acta Neurobiologiae Experimentalis, Volume 78 , ISSUE 4, 305–314

research-article | 18-March-2020

Parental internalizing symptoms as predictors of anxiety symptoms in clinic-referred children

Children’s Anxiety Scale; DASS, Depression Anxiety Stress Scale; C, Child; M, Mother; F, Father. *Correlation is significant at the p < 0.05 level; **Correlation is significant at the p < 0.01 level; ***Correlation is significant at the p < 0.001 level Three multiple regression models were run (see Table 3). In the first model for child self-rated anxiety symptoms (SCAS-C), the predictors were mothers’ and fathers’ self-rated internalizing symptoms (DASS), child age, and child gender. This model

Krister Westlye Fjermestad, Christina Lium, Einar R. Heiervang, Odd E. Havik, Bente Storm Mowatt Haugland, Ingvar Bjelland, Gro Janne Henningsen Wergeland

Scandinavian Journal of Child and Adolescent Psychiatry and Psychology, Volume 8 , 18–24

Article | 04-September-2019

DECOMPOSITION OF GENDER WAGE GAP IN POLAND USING COUNTERFACTUAL DISTRIBUTION WITH SAMPLE SELECTION

In the paper, we compare income distributions in Poland taking into account gender differences. The gender pay gap can only be partially explained by differences in men’s and women’s characteristics. The unexplained part of the gap is usually attributed to the wage discrimination. The objective of this study is to extend the Oaxaca-Blinder decomposition procedure to different quantile points along the income distribution. We use the RIF-regression method to describe differences

Joanna Małgorzata Landmesser

Statistics in Transition New Series, Volume 20 , ISSUE 3, 171–186

Research Article | 14-February-2019

THE EFFECTIVENESS OF LOGISTICS DEVELOPMENT AND ITS IMPACT ON THE ECONOMIES OF THE COUNTRIES ALONG THE SILK ROAD PASSING THROUGH KAZAKHSTAN

of the Silk Road. A group of preliminary countries, through which lie main routes of the economic belt of Silk Road, including Kazakhstan, were selected. An analysis was carried out on the efficiency of development of logistics and trade, impact of development of logistics on international trade. Based on the analysis of international indices of logistics efficiency, international trade conditions and regression models, problems and reasons for lagging have been identified that affect the

Zhanarys RAIMBEKOV, Bakyt SYZDYKBAYEVA, Zhibek RAKHMETULINA, Darima ZHENSKHAN

Transport Problems, Volume 13 , ISSUE 4, 127–142

Research Article | 18-October-2018

Identity formation and evaluation in adolescence and emerging adulthood: How is it associated with depressive symptoms and loneliness?

identity dimensions and intra- and interpersonal aspects of mental health.Method:In total, 524 high school students (65 % female; mean age = 18.27; SD = 1.15) participated in a cross-sectional study measuring five identity dimensions and intra- and interpersonal aspects of mental health (depressive symptoms and loneliness). Correlation coefficients were calculated and hierarchical regression analyses were performed.Results:Only two of the five identity dimensions: Identification with Commitment and

Nanna Lindekilde, Marlene Lübeck, Mathias Lasgaard

Scandinavian Journal of Child and Adolescent Psychiatry and Psychology, Volume 6 , ISSUE 2, 91–97

Article | 24-August-2017

SEQUENTIAL DATA WEIGHTING PROCEDURES FOR COMBINED RATIO ESTIMATORS IN COMPLEX SAMPLE SURVEYS

important reasons are weighting for unequal probability of selection, compensation for nonresponse, and post-stratification. Many highly efficient estimation methods in survey sampling require strong information about auxiliary variables, x. The most common estimation methods using auxiliary information in estimation stage are regression and ratio estimator. This paper proposes a sequential data weighting procedure for the estimators of combined ratio mean in complex sample surveys and general variance

Aylin Alkaya, H. Öztaş Ayhan, Alptekin Esin

Statistics in Transition New Series, Volume 18 , ISSUE 2, 247–270

Article | 24-July-2017

Numerical Taxonomy Helps Identification of Merliniidae and Telotylenchidae (Nematoda: Tylenchoidea) from Iran

Numerical taxonomy was used for identification and grouping of the genera, species, and populations in the families Merliniidae and Telotylenchidae. The variability of each of 44 morphometric characters was evaluated by calculation of the coefficient of variability (CV) and the ratio of extremes (max/min) in the range of 1,020 measured females. Also correlation and regression analyses were made between characters to find potential collinearities. Hierarchical cluster analysis (HCA

REZA GHADERI, HABIBALLAH HAMZEHZARGHANI, AKBAR KAREGAR

Journal of Nematology, Volume 49 , ISSUE 2, 207–222

book-review | 19-August-2019

Changes in delinquency according to socioeconomic status among Finnish adolescents from 2000 to 2015

. Bivariate associations were studied using binomial logistic regression results shown as odds ratios with 95 % confidence intervals. Delinquency was entered as dependent variable. In the first model, categorical time periods (2000-2001, 2002-2003, 2004-2005, 2006-2007, 2008-2009, 2010-2011, 2012-2013, 2014-2015) were entered as independent factors using the time period 2000-2001 as a reference category. In the second model, family structure (living with both parents/other), parental unemployment in the

Noora Knaappila, Mauri Marttunen, Sari Fröjd, Nina Lindberg, Riittakerttu Kaltiala-Heino

Scandinavian Journal of Child and Adolescent Psychiatry and Psychology, Volume 7 , 52–59

research-article | 10-January-2020

A Relational Hyperlink Analysis of an Online Social Movement

methods such as logistic regression can be used in an attempt to explain why a particular network has been realized (such an approach might be used to find the impact of node characteristics on the probability of a tie). However, this involves treating each tie as a unit of analysis and a standard logistic regression cannot be used since the assumption of independence of individual observations is violated (in the friendship network above node c links to 3 nodes (a, v, and w) and all of these ties

Dean Lusher, Robert Ackland

Journal of Social Structure, Volume 12 , ISSUE 1, 1–49

Research Article | 13-December-2019

HYBRID MULTIPLE IMPUTATION IN A LARGE SCALE COMPLEX SURVEY

data sets that contain both continuous and categorical variables. The proposed HMI approach involves the application of sequential regression MI techniques to impute the continuous variables by using information from the categorical variables, already imputed by a non-parametric Bayesian MI approach. The proposed approach seems to be a good alternative to the existing approaches, frequently yielding lower root mean square errors, empirical standard errors and standard errors than the others. The

Humera Razzak, Christian Heumann

Statistics in Transition New Series, Volume 20 , ISSUE 4, 33–58

Article | 03-March-2021

Bankruptcy prediction of small- and medium-sized enterprises in Poland based on the LDA and SVM methods

. Since the Altman Z-Score model was devised, numerous studies on bankruptcy prediction have been written. Most of them involve the application of traditional methods, including linear discriminant analysis (LDA), logistic regression and probit analysis. However, most recent studies in the area of bankruptcy prediction focus on more advanced methods, such as case-based reasoning, genetic algorithms and neural networks. In this paper, the effectiveness of LDA and SVM predictions were compared. A sample

Aneta Ptak-Chmielewska

Statistics in Transition New Series, Volume 22 , ISSUE 1, 179–195

Research Article | 13-June-2021

Estimating completion and breakoff functions in a business web survey

are observed and compared across different questionnaire and respondent characteristics. A regression modelling approach has been adopted to estimate the completion and breakoff functions to help a researcher determine which respondents completed a questionnaire and which broke it off too quickly or too slowly. By omitting such respondents, a researcher is able to obtain the relevant estimates more efficiently. In addition, the completion and breakoff functions offer a better insight into the

Berislav Žmuk

Statistics in Transition New Series, Volume 22 , ISSUE 2, 15–39

Article | 05-September-2021

A calibrated synthetic estimator for small area estimation

Synthetic estimators are known to produce estimates of population mean in areas where no sampled data are available, but such estimates are usually highly biased with invalid confidence statements. This paper presents a calibrated synthetic estimator of the population mean which addresses these problematic issues. Two known special cases of this estimator were obtained in the form of combined ratio and combined regression synthetic estimators, using selected tuning parameters under stratified

Matthew Joshua Iseh, Ekaette Inyang Enang

Statistics in Transition New Series, Volume 22 , ISSUE 3, 15–30

Article | 03-March-2018

THE EFFICIENCY OF TRANSPORTATING PERISHABLE GOODS BY ROAD AND RAIL

of this model is the economical profit of the logistics system ‘shipper – carrier – receiver’. The advantage of using the suggested model is the possibility of calculating invisible costs while evaluating alternative transport mode, including funds immobilization and cargo loss. The tools in the study are the methods of system analysis, mathematical modelling, regression analysis and expert evaluations. The acquired results can be used while justifying the mode choice and

Mariia OLKHOVA, Yurii DAVIDICH, Dmytro ROSLAVTSEV, Nataliia DAVIDICH

Transport Problems, Volume 12 , ISSUE 4, 37–50

Research paper | 01-November-2017

BORROWING INFORMATION OVER TIME IN BINOMIAL/LOGIT NORMAL MODELS FOR SMALL AREA ESTIMATION

Linear area level models for small area estimation, such as the Fay-Herriot model, face challenges when applied to discrete survey data. Such data commonly arise as direct survey estimates of the number of persons possessing some characteristic, such as the number of persons in poverty. For such applications, we examine a binomial/logit normal (BLN) model that assumes a binomial distribution for rescaled survey estimates and a normal distribution with a linear regression mean function for

Carolina Franco, William R. Bell

Statistics in Transition New Series, Volume 16 , ISSUE 4, 563–584

Research Article | 13-December-2018

ANOTHER LOOK AT THE STATIONARITY OF INFLATION RATES IN OECD COUNTRIES: APPLICATION OF STRUCTURAL BREAK-GARCH-BASED UNIT ROOT TESTS

-tests, those tests with structural break reject more null hypotheses of unit roots of most inflation series than those without structural breaks. By applying variants of GARCH-based unit root tests, which include those with structural breaks and time trend regression specifications, we find that unit root tests without time trend give most rejections of the conventional unit roots. Thus, care should be taken while applying variants of the new unit root tests on weak trending time series as indicated

OlaOluwa S. Yaya

Statistics in Transition New Series, Volume 19 , ISSUE 3, 477–493

Article | 21-July-2017

Optimum Concentrations of Trichoderma longibrachiatum and Cadusafos for Controlling Meloidogyne javanica on Zucchini Plants

2 mg a.i./kg soil). The data were analyzed using a custom response surface regression model and the response surface curve and contour plots were drawn. Reliability of the model was examined by comparing the result of new experimental treatments with the predicted results. The optimal levels of these two variables also were calculated. The interactive effects of concentrations of Trichoderma and cadusafos were insignificant for several responses such as the total number of eggs per gram soil

ZAHRA SOKHANDANI, MOHAMMAD REZA MOOSAVI, TAHEREH BASIRNIA

Journal of Nematology, Volume 48 , ISSUE 1, 54–63

research-article | 31-December-2019

Correlation between portal vein diameter and craniocaudal length of the spleen

. Descriptive data is explained in the form of frequency, mean and standard deviation. The data was analyzed via Pearson correlation and linear regression analysis. Results A total of 1000 patient, 369 (36.9%) female and 631 (63.1%) male participants were included in the study. Patients’ ages ranged between 4 and 79 years with the mean of 32.92±16.8, and the rest of descriptive measurements are specified in table 1. A statistically strong correlation was found between the caudocranial length of the spleen

Shah Zaman, Syed Amir Gilani, Raham Bacha, Iqra Manzoor, Zain Ul Hasan

Journal of Ultrasonography, Volume 19 , ISSUE 79, 276–281

Article | 03-July-2017

THE APPLICATION OF MULTIVARIATE STATISTICAL ANALYSIS TO THE VALUATION OF DURABLE GOODS BRANDS

 of marketing strategy. The main aim of this study is an attempt to improve the process of analysing the position and value of brands using selected multivariate statistical analysis methods (hedonic regression, multidimensional scaling, classification and linear ordination methods). In the conducted research the direct approach to the evaluation of the position of the brands for a selected ICT good – smartphones – have been applied. The measurement was performed

Marta Dziechciarz-Duda, Anna Król

Statistics in Transition New Series, Volume 18 , ISSUE 1, 75–90

research-article | 06-April-2020

A ten year longitudinal examination of the incidence rate and age of childhood encephalopathy diagnoses in an autism spectrum disorder diagnosed cohort

diagnosis are identifiable in only a limited number of persons diagnosed with an ASD. By contrast, other investigators hypothesized that progressive childhood encephalopathy through a neurodegenerative pathway is an important etiological factor in ASD pathogenesis (Kern et al., 2013). In support of their hypothesis, these investigators described that on a clinical basis a significant number of children diagnosed with an ASD were observed to undergo developmental regression manifested by a loss of verbal

Janet K. Kern, David A. Geier, Kristin G. Homme, Mark R. Geier

Acta Neurobiologiae Experimentalis, Volume 80 , ISSUE 1, 66–75

research-article | 28-September-2020

Evaluation of benign parotid gland tumors with superb microvascular imaging and shear wave elastography

Hakan Cebeci, Mehmet Öztürk, Mehmet Sedat Durmaz, Abidin Kılınçer, Ömer Erdur, Bahar Çolpan

Journal of Ultrasonography, Volume 20 , ISSUE 82, 185–190

research-article | 06-October-2021

Class II division 1 malocclusion treatment with extraction of maxillary first permanent molars: cephalometric evaluation of treatment and post-treatment changes

–T2. The increments were tested using paired-samples t-tests. The cephalometric variables were compared between the groups (hypodivergent, normodivergent, and hyperdivergent) by applying ANOVA followed by Tukey’s post hoc test. Linear regression was used to examine the effect of facial type (reference is normodivergent facial type), age, and gender (independent variables) on the dependent cephalometric variable. The amount of variance explained by the independent variables was estimated by the R 2

Johan Willem Booij, Anne Marie Kuijpers-Jagtman, Ewald M. Bronkhorst, Frits A. Rangel, Christos Livas, Yijin Ren, Christos Katsaros, Edwin M. Ongkosuwito

Australasian Orthodontic Journal, Volume 37 , ISSUE 2, 294–310

research-article | 30-November-2018

The Multiplex Social Environments of Young Black Men Who Have Sex with Men: How Online and Offline Social Structures Impact HIV Prevention and Sex Behavior Engagement

variables) were calculated for all outcomes and covariates. Multivariate logistic regression analyses were performed to examine associations of network features with each prevention and sex behavior outcome, while also controlling for individual and structural factors. Adjusted odds ratios (aORs) and their 95% confidence intervals (95% CIs) were calculated. All models were fit using RDS sampling weights, specifically Gile’s Sequential Sampling (SS) estimator (Gile, 2011; Gile & Handcock, 2010), an

Lindsay E. Young, Kayo Fujimoto, Leigh Alon, Liang Zhang, John A. Schneider

Journal of Social Structure, Volume 20 , ISSUE 3, 70–95

Article | 20-December-2020

Modelling bid-ask spread conditional distributions using hierarchical correlation reconstruction

, we first normalized marginal distributions so that they were nearly uniform. Then we modelled joint densities as linear combinations of orthonormal polynomials, obtaining their decomposition into mixed moments. Then we modelled each moment of the predicted variable separately as a linear combination of mixed moments of known variables using least squares linear regression. By combining these predicted moments, we obtained the predicted density as a polynomial, for which we can e.g. calculate the

Jarosław Duda, Henryk Gurgul, Robert Syrek

Statistics in Transition New Series, Volume 21 , ISSUE 5, 99–118

research-article | 30-November-2020

Prevalence of Dirofilaria immitis in mosquitoes (Diptera) – systematic review and meta-analysis

assessed (Freeman and Tukey, 1950; Harris et al., 2008; Nyaga et al., 2014). Next, the key factors that could be the source of heterogeneity for the prevalence of infection and infective were assessed using meta-regression and subgroup analyses for some factors such as: data collection years, country, mean temperature, annual rainfall, humidity, WHO regional office, altitude, latitude, detection type, vector genus, and vector species. Heterogeneity among studies was evaluated by statistical tests and

Seyed Mohammad Riahi, Mustapha Ahmed Yusuf, Shahyad Azari-Hamidian, Rahmat Solgi

Journal of Nematology, Volume 53 , 1–13

Research Article | 05-July-2017

Low self-esteem and high psychological distress are common among depressed adolescents presenting to the Pediatric Emergency Department

depression.Results:In 55% of participants, intoxication was by alcohol consumption. Deliberate self-harm was found in 17% of the participants. Of the 138 adolescents, 39% scored positive on the BDI for depressive symptoms, occurring more commonly in girls. Logistic regression showed that the most significant variables associated with depressive symptoms were female gender, high psychological distress, and low self-esteem. Symptoms of depression served as a mediator between gender and self-esteem and the blood

Varpu Puuskari, Terhi Aalto-Setälä, Erkki Komulainen, Mauri Marttunen

Scandinavian Journal of Child and Adolescent Psychiatry and Psychology, Volume 5 , ISSUE 1, 39–49

Research paper | 06-February-2018

Nucleus accumbens local field potential power spectrums, phase-amplitude couplings and coherences following morphine treatment

Hz) gamma powers in the NAc following morphine administration (5 and 15 mg/kg, i.p.). These gamma activities oscillated independently with different time-course responses. Locomotor activity was also significantly increased by morphine administration. Regression analyses revealed that high gamma activity induced by morphine was positively correlated with distance travelled by animals. Low and high gamma powers were completely abolished by injection of naloxone, a non-specific opiate antagonist

Chayaporn Reakkamnuan, Dania Cheaha, Ekkasit Kumarnsit

Acta Neurobiologiae Experimentalis, Volume 77 , ISSUE 3, 214–224

Article | 01-December-2015

PREDICTION AND ANALYSIS OF URBAN HEAT ISLAND EFFECT IN DANGSHAN BY REMOTE SENSING

thermal infrared band images using the mono-window algorithm. Urban heat island effect in Dangshan County was divided into strong green island zone, green island zone, normal zone, heat island zone and strong heat island zone according based on arithmetic progression. Using regression analysis, quantitative relationship between NDVI and the heat island effect was determined. Results showed an acceleration in urbanization of Dangshan County over the years resulted in a gradual increase in the heat

Gang Fang

International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 4, 2195–2211

Article | 30-November-2018

Assessment of a Non-Optical Water Quality Property Using Space-based Imagery in Egyptian Coastal Lake

carrying out multiple regression technique and reaching best algoritm model for DO retrival in Lake Edku. Analysis have been performed with the spatially distributed field measurements of Dissolved Oxygen as related to the spectral reflectance values derived from Landsat images at corresponding dates in year 2016. The available field data were divided into two groups for building algorithm models. Then performance has been tested with the reserved second group of data for validation process. Based on

Hala O. Abayazid, Ahmed El-Adawy

International Journal of Advanced Network, Monitoring and Controls, Volume 4 , ISSUE 3, 53–64

research-article | 18-March-2020

Cyberbullying: relationship with developmental variables and cyber victimization

for SRMSR, greater than 0.90 for CFI and TLI (78). To compute the standard coefficients of the relationships in the cross-lagged panel model, two hierarchic regression analyses were employed (SPSS 24.0). Before the analysis, data were checked for the assumptions of the regression analysis. In each regression analysis, time one measures of predicted variables were controlled by being entered in the first block of analysis. Results Test of the cross-sectional model of cyberbullying Correlations

Gülendam Akgül, Müge Artar

Scandinavian Journal of Child and Adolescent Psychiatry and Psychology, Volume 8 , 25–37

research-article | 30-November-2020

Interpersonal trust in adolescents with psychiatric disorders and borderline pathology

the honesty subscale of the CGTB (F(2, 440) = 2.81, p = .061) when controlling for gender and age. Examining unique associations between borderline features and interpersonal trust Next, three hierarchical linear regression models were evaluated to examine the unique association of BPD symptoms measured continuously and across all groups, above and beyond the effects of internalizing and externalizing pathology, with each form of interpersonal trust. In Step 1 of each model, internalizing and

Miana Graves, Francesca Penner, Carla Sharp

Scandinavian Journal of Child and Adolescent Psychiatry and Psychology, Volume 9 , 176–186

research-article | 12-January-2022

The relationship between behavioral problems and screen time in children during COVID-19 school closures in Japan

). Statistical analyses All statistical analyses were performed using JMP® Pro version 14 (SAS Institute Inc., Cary, NC, USA). Demographic characteristics were expressed as means and standard deviations for continuous variables and as frequencies and percentages for categorical variables. Chi-squared and Wilcoxon rank sum tests were used to compare differences between groups. Logistic regression analyses were performed to calculate the adjusted odds ratio (OR) with 95% confidence interval (CI) for evaluating

Chika Ueno, Shuichi Yamamoto

Scandinavian Journal of Child and Adolescent Psychiatry and Psychology, Volume 10 , 1–8

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