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Article

Analysis and Compensation About Temperature Influence to Optical-Fiber Gyro Zero Bias

Compared to other gyro the dynamic performance of optical-fiber gyro was better and the price was cheap. Optical-fiber gyro was suit to build SINS. By the way, zero bias of optical-fiber gyro was sensitive to temperature, and the compensation technique was a hot point in INS research. According to the above situation, based on one type optical-fiber gyro, the influence mechanism about temperature to optical-fiber gyro zero bias was studied, and a test method was designed, the experiment results

Zhou Haiyuan, Yang Heng, Wang Qianxue, Liu Xinming, Pan Liang

International Journal of Advanced Network, Monitoring and Controls , ISSUE 1, 1–4

Research Communicate

PRODUCT EXPONENTIAL METHOD OF IMPUTATION IN SAMPLE SURVEYS

In this paper, a product exponential method of imputation has been suggested and their corresponding resultant point estimator has been proposed for estimating the population mean in sample surveys. The expression of bias and the mean square error of the suggested estimator has also been derived, up to the first order of large sample approximations. Compared with the mean imputation method, Singh and Deo (Statistical Papers (2003)) and Adapted estimator (Bahl and Tuteja (1991)), the simulation

Shakti Prasad

Statistics in Transition New Series , ISSUE 1, 159–166

Sampling Methods

EFFICIENT ESTIMATORS OF POPULATION MEAN USING AUXILIARY INFORMATION UNDER SIMPLE RANDOM SAMPLING

In the present study we have proposed an improved family of estimators for estimation of population mean using the auxiliary information of median, quartile deviation, Gini’s mean difference, Downton’s Method, Probability Weighted Moments and their linear combinations with correlation coefficient and coefficient of variation. The performance of the proposed family of estimators is analysed by mean square error and bias and compared with the existing estimators in the literature. By

Mir Subzar, Showkat Maqbool, Tariq Ahmad Raja, Surya Kant Pal, Prayas Sharma

Statistics in Transition New Series , ISSUE 2, 219–238

Research paper

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 , ISSUE 2, 183–202

Article

EFFICIENT FAMILY OF RATIO-TYPE ESTIMATORS FOR MEAN ESTIMATION IN SUCCESSIVE SAMPLING ON TWO OCCASIONS USING AUXILIARY INFORMATION

In this paper, we proposed an efficient family of ratio-type estimators using one auxiliary variable for the estimation of the current population mean under successive sampling scheme. This family of estimators have been studied by Ray and Sahai (1980) under simple random sampling using one auxiliary variable for estimation of the population mean. Using these estimators in successive sampling, the expression for bias and mean squared error of the proposed estimators are obtained up to the first

Nazeema T. Beevi, C. Chandran

Statistics in Transition New Series , ISSUE 2, 227–245

Article

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 , ISSUE 4, 591–604

Research Article

ESTIMATION OF PRODUCT OF TWO POPULATION MEANS BY MULTI-AUXILIARY CHARACTERS UNDER DOUBLE SAMPLING THE NON-RESPONDENTS

of a larger first phase sample. In this situation, a class of two phase sampling estimators for estimating P is suggested using multi-auxiliary characters with unknown population means in the presence of non-response. The expressions of bias and mean square error of all the proposed estimators are derived and their properties are studied. An empirical study using real data sets is given to justify the theoretical considerations.

B. B. Khare, R. R. Sinha

Statistics in Transition New Series , ISSUE 3, 81–95

Research paper

Effects of repetitive transcranial magnetic stimulation on non-veridical decision making

We test the emerging hypothesis that prefrontal cortical mechanisms involved in non-veridical decision making do not overlap with those of veridical decision making. Healthy female subjects performed an experimental task assessing free choice, agent-centered decision making (The Cognitive Bias Task) and a veridical control task related to visuospatial working memory (the Moving Spot Task). Transcranial magnetic stimulation (TMS) was applied to the left and right dorsolateral prefrontal cortex

Jaan Tulviste, Elkhonon Goldberg, Kenneth Podell, Talis Bachmann

Acta Neurobiologiae Experimentalis , ISSUE 3, 182–191

Article

A NEW FAMILY OF ESTIMATORS OF THE POPULATION VARIANCE USING INFORMATION ON POPULATION VARIANCE OF AUXILIARY VARIABLE IN SAMPLE SURVEYS

This paper proposes a family of estimators of population variance 2 y S of the study variable y in the presence of known population variance 2 x S of the auxiliary variable x. It is identified that in addition to many, the recently proposed classes of estimators due to Sharma and Singh (2014) and Singh and Pal (2016) are members of the proposed family of estimators. Asymptotic expressions of bias and mean squared error (MSE) of the suggested family of

Housila P. Singh, Surya K. Pal

Statistics in Transition New Series , ISSUE 4, 605–630

Sampling Methods

UNIVARIATE SAMPLE SIZE DETERMINATION BY ALTERNATIVE COMPONENTS: ISSUES ON DESIGN EFFICIENCY FOR COMPLEX SAMPLES

for their multivariate sample designs. These approaches also included some design efficiency and error statistics for the determination of the univariate sample sizes. These should be used for determining the survey quality measures after the data collection, not before. The additional components of the classical sample size measure will create selection and representation bias of survey estimates, which is discussed in this article.

Ceylan Talu Yozgatligil, H. Öztaş Ayhan

Statistics in Transition New Series , ISSUE 2, 201–218

Article

MOBILE LOCALIZATION AND TRACKING WITH LOS AND NLOS IDENTIFICATION IN WIRELESS SENSOR NETWORKS

This paper addresses the problem of mobile sensor localization and tracking in an obstructed environment. To solve this problem, a combination of three approaches is proposed: a nonlinear Kalman Filter to estimate the mobile position, a sub filter used jointly with the nonlinear filter to estimate the bias due to the Non-Line Of Sight (NLOS) effect and a low complexity method for Line Of Sight (LOS) and NLOS identification. Based on hypothesis testing, this method discriminates between the LOS

Y. K. Benkouider, M. Keche

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 1054–1072

Article

Design of high precision time synchronization system based on GPS/BD dual mode

In this paper, a new method of clock disciplining based on GPS/BD dual-mode receiver is proposed, which can improve the estimation accuracy of clock bias by fusing the GPS clock bias data and the BD clock bias data. In addition, the use of unbiased FIR filtering algorithm to filter the clock bias data to improve the accuracy of the clock filter. According to the experimental results, the time synchronization precision of the proposed method is 50ns, which is better than that based on single

YU Fan, MA Xing, Wang Zhongsheng

International Journal of Advanced Network, Monitoring and Controls , ISSUE 2, 89–95

Article

PREDICTION OF A FUNCTION OF MISCLASSIFIED BINARY DATA

We consider the problem of predicting a function of misclassified binary variables. We make an interesting observation that the naive predictor, which ignores the misclassification errors, is unbiased even if the total misclassification error is high as long as the probabilities of false positives and false negatives are identical. Other than this case, the bias of the naive predictor depends on the misclassification distribution and the magnitude of the bias can be high in certain cases. We

Noriah M. Al-Kandari, Partha Lahiri

Statistics in Transition New Series , ISSUE 3, 429–447

Article

ESTIMATING SENSITIVE POPULATION PROPORTION USING A COMBINATION OF BINOMIAL AND HYPERGEOMETRIC RANDOMIZED RESPONSES BY DIRECT AND INVERSE MECHANISM

For various reasons individuals in a sample survey may prefer not to confide to the interviewer the correct answers to certain potentially sensitive questions such as the illegal use of drugs, illegal earning, or incidence of acts of domestic violence, etc. In such cases the individuals may elect not to reply at all or to reply with incorrect answers. The resulting evasive answer bias is ordinarily difficult to assess. The use of a randomized response method for estimating the proportion of

Kajal Dihidar, Manjima Bhattacharya

Statistics in Transition New Series , ISSUE 2, 193–210

Review

Hallucinations and other psychotic symptoms in response to methylphenidate in children and adolescents with attention-deficit/hyperactivity disorder: a Cochrane systematic review with meta-analysis and trial sequential analysis#

(for observational studies) and March 2017 (for randomized trials). We summarized data as risk ratios and pooled prevalences. Trial Sequential Analysis was used to control for random errors. We assessed the risk of bias and the quality of evidence according to Cochrane guidelines.Results:Ten randomized trials (1103 participants), 17 non-randomized studies (76,237 participants) and 12 patient reports or series (18 patients) were identified. In the randomized trials, there was no significant

Erica Ramstad, Ole Jakob Storebø, Trine Gerner, Helle B. Krogh, Mathilde Holmskov, Frederik L. Magnusson, Carlos R. Moreira-Maia, Maria Skoog, Camilla Groth, Donna Gillies, Morris Zwi, Richard Kirubakaran, Christian Gluud, Erik Simonsen

Scandinavian Journal of Child and Adolescent Psychiatry and Psychology , ISSUE 1, 52–71

Article

LINDLEY PARETO DISTRIBUTION

In this paper, we introduce a new Lindley Pareto distribution, which offers a more flexible model for modelling lifetime data. Some of its mathematical properties like density function, cumulative distribution, mode, mean, variance, and Shannon entropy are established. A simulation study is carried out to examine the bias and mean square error of the maximum likelihood estimators of the unknown parameters. Three real data sets are fitted to illustrate the importance and the flexibility of the

Halim Zeghdoudi, Lazri Nouara, Djabrane Yahia

Statistics in Transition New Series , ISSUE 4, 671–692

Article

KERNEL ESTIMATION OF CUMULATIVE DISTRIBUTION FUNCTION OF A RANDOM VARIABLE WITH BOUNDED SUPPORT

In the paper methods of reducing the so-called boundary effects, which appear in the estimation of certain functional characteristics of a random variable with bounded support, are discussed. The methods of the cumulative distribution function estimation, in particular the kernel method, as well as the phenomenon of increased bias estimation in boundary region are presented. Using simulation methods, the properties of the modified kernel estimator of the distribution function are investigated

Aleksandra Baszczyńska

Statistics in Transition New Series , ISSUE 3, 541–556

Sampling Methods

A GENERALIZED EXPONENTIAL TYPE ESTIMATOR OF POPULATION MEAN IN THE PRESENCE OF NON-RESPONSE

Siraj Muneer, Javid Shabbir, Alamgir Khalil

Statistics in Transition New Series , ISSUE 2, 259–276

Article

IMPUTATION OF MISSING VALUES BY USING RAW MOMENTS

. Equations for bias and mean squared error are obtained by large sample approximation. Through the numerical and simulation studies it can be easily understood that the proposed method of imputation can outperform their counterparts.

Muhammed Umair Sohail, Javid Shabbir, Farinha Sohil

Statistics in Transition New Series , ISSUE 1, 21–40

Sampling Methods

INTERACTION BETWEEN DATA COLLECTION AND ESTIMATION PHASES IN SURVEYS WITH NONRESPONSE

Inference in surveys with nonresponse has been studied extensively in the literature with a focus on the estimation phase. Propensity weighting and calibrated weighting are among the adjustment methods used to reduce the nonresponse bias. The data collection phase has come into focus more recently; the literature on adaptive survey design emphasizes representativeness and degree of balance as desirable properties of the response obtained from a probability sample. We take an integrated view

Carl-Erik Särndal, Imbi Traat, Kaur Lumiste

Statistics in Transition New Series , ISSUE 2, 183–200

Research Article

DESIGN AND OPTIMIZATION OF BULK MICROMACHINED ACCELEROMETER FOR SPACE APPLICATIONS

The accelerometers used for Inertial Navigation in satellite launch vehicles demand excellent performance in terms of sensitivity, noise immunity, linearity, bias and scale factor stability over time and environmental changes. Detailed and in-depth design of the microstructure by computer simulation is required to ensure structural integrity and reliability of the microstructure. The microstructure of the accelerometer consists of a proof mass suspended from the mounting frame by beam springs

Thampi Paul, Jaspreet Singh, M. M. Nayak, K. Rajanna, M. Sasi Kumar

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1019–1030

Article

EXTENDED EXPONENTIATED POWER LINDLEY DISTRIBUTION

random sample from this distribution are investigated. A simulation study is performed to compare the performance of the different parameter estimates in terms of bias and mean square error. We apply a real data set to illustrate the applicability of the new model. Empirical findings show that proposed model provides better fits than other well-known extensions of Lindley distributions.

V. Ranjbar, M. Alizadeh, G. G. Hademani

Statistics in Transition New Series , ISSUE 4, 621–643

Research paper

IMPROVED SEPARATE RATIO AND PRODUCT EXPONENTIAL TYPE ESTIMATORS IN THE CASE OF POST-STRATIFICATION

Hilal A. Lone, Rajesh Tailor

Statistics in Transition New Series , ISSUE 1, 53–64

Article

AUTOMATIC SEGMENTATION OF BRAIN TUMOR MAGNETIC RESONANCE IMAGING BASED ON MULTI-CONSTRAINS AND DYNAMIC PRIOR

The most difficult and challenging problem in medical image analysis is image segmentation. Due to the limited imaging capability of magnetic resonance (MR), the sampled magnetic resonance images from clinic always suffer from noise, bias filed (also known as intensity non-uniformity), partial volume effects and motive artifacts. In additional, for the complex shape boundary and topology of brain tissues and structures, segmenting magnetic resonance image of brain tumor fast, accurately and

Liu Erlin, Wang Meng, Teng Jianfeng, Li Jianjian

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 1031–1049

Sampling Methods

IMPROVED ROTATION PATTERNS USING TWO AUXILIARY VARIABLES IN SUCCESSIVE SAMPLING

Jaishree Prabha Karna, Dilip Chandra Nath

Statistics in Transition New Series , ISSUE 1, 25–44

Research Article

RAILWAY WHEELSET PARAMETER ESTIMATION USING SIGNALS FROM LATERAL VELOCITY SENSOR

) element to reduce estimation bias and a variable forgetting factor for good parameter tracking and smooth steady state. Simulation results have shown that the LAE with fixed forgetting factor gives better parameter estimates compared to the recursive least-squares error (RLSE) method, whereas the LAE+VFF offers even better estimation and tracking of system parameters that are subject to abrupt changes, provided that the fs and lf values are chosen accordingly. It has also been proven that the

H. Selamat, A. J. Alimin, Y. M. Sam

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 754–770

Article

The Study of Following Behavior to Bi-direction Pedestrian Flow with the Dynamic Preconscious Effect

In view of the preconscious behavior of pedestrian and walking speed differences, a lattice gas model of bi-direction pedestrian flow is established in this paper. According to the characteristics of pedestrian following behavior and preconscious dynamic change in different walking conditions, bi-direction pedestrian behavior model based on dynamic preconsciousness is constructed to study the bias decision-making behavior of pedestrian movement. Through numerical simulation, the influence of

Xin Tang, Xueyu Zhao, Lin Pan, Jiying Wang, Yi Yang

International Journal of Advanced Network, Monitoring and Controls , ISSUE 3, 109–115

Research Article

REFERENCE CLASS FORECASTING IN ICELANDIC TRANSPORT INFRASTRUCTURE PROJECTS

Thordur Vikingur FRIDGEIRSSON

Transport Problems , ISSUE 2, 103–115

Research paper

SOME CLASSES OF MODIFIED RATIO TYPE ESTIMATORS IN SAMPLE SURVEYS

A. K. P. C. Swain, Manjula Das

Statistics in Transition New Series , ISSUE 1, 37–52

Article

A COST-EFFECTIVE AND ACCURATE ELECTRICAL IMPEDANCE MEASUREMENT CIRCUIT DESIGN FOR SENSORS

Ciaran Doyle, Dr Daniel Riordan, Dr Joseph Walsh

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 509–525

Sampling Methods

JOINT RESPONSE PROPENSITY AND CALIBRATION METHOD

This paper examines the chain of weights, beginning with the basic sampling weights for the respondents. These were then converted to reweights to reduce the bias due to missing quantities. If micro auxiliary variables are available for a gross sample, we suggest taking advantage first of the response propensity weights, and then of the calibrated weights with macro (aggregate) auxiliary variables. We also examined the calibration methodology that starts from the basic weights. Simulated data

Seppo Laaksonen, Auli Hämäläinen

Statistics in Transition New Series , ISSUE 1, 45–60

Article

DEVELOPMENT OF SMALLAREA ESTIMATION IN OFFICIAL STATISTICS

estimation in official statistics, beginning with international seminars and conferences devoted to SAE procedures and methods (starting with the Canadian symposium, 1985, and the Warsaw conference, 1992, to the Poznan conference, Poland, 2014), and some international projects (EURAREA, SAMPLE, BIAS, AMELI, ESSnet). Next, some aspects of development of SAE in official statistics are discussed. At the end some conclusions regarding quality of SAE procedures are considered.

Jan Kordos

Statistics in Transition New Series , ISSUE 1, 105–132

Research Article

Estimation of finite population mean using two auxiliary variables under stratified random sampling

Rohini Yadav, Rajesh Tailor

Statistics in Transition New Series , ISSUE 1, 1–12

Article

DEVELOPMENT OF CHAIN-TYPE EXPONENTIAL ESTIMATORS FOR POPULATION VARIANCE IN TWOPHASE SAMPLING DESIGN IN PRESENCE OF RANDOM NON-RESPONS

G. N. Singh, Amod Kumar, Gajendra K. Vishwakarma

Statistics in Transition New Series , ISSUE 4, 575–596

Review Paper

Epidemiology and long-term Turku outcome of childhood-onset epilepsy and mortality. Personal experiences. Part I

Introduction. Epidemiological studies on epilepsy were long based, with few exceptions, on hospital and institution patients with a subsequent bias toward more difficult cases and the reported prevalence and incidence rates were often obviously too low. Few data are available on the temporal changes in the incidence of epilepsy. Aim. To study the prevalence and incidence in an unselected child population including all the children living either in the society or in the institution, temporal

Matti Sillanpää

Journal of Epileptology , ISSUE 2, 149–157

Article

NEW APPROACHES USING EXPONENTIAL TYPE ESTIMATOR WITH COST MODELLING FOR POPULATION MEAN ON SUCCESSIVE WAVES

Kumari Priyanka, Richa Mittal

Statistics in Transition New Series , ISSUE 4, 569–587

Research paper

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

diagnostic measures. All methods provided unbiased estimates of diagnostic measures in the absence of any covariate. LR and GEE methods produced more biased estimates as compared to MLR approach especially for small sample size studies. No bias was obtained in predicting sensitivity measure using MLR method for one screening test. Our proposed MLR method is robust for modeling diagnostic measures of a screening test as opposed to LR method. MLR method and GEE method produced similar estimates of

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

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

Article

MODELLING SENSITIVE ISSUES ON SUCCESSIVE WAVES

Kumari Priyanka, Pidugu Trisandhya

Statistics in Transition New Series , ISSUE 1, 41–65

Review

A Systematic Review of Social Communication and Interaction Interventions for Patients with Autism Spectrum Disorder

conducted via five databases: Medline, PubMed, PsycInfo, CINAHL, and ERIC. Identified articles were screened for relevance by two independent reviewers, who also assessed the risk of bias in randomized controlled trials using systematic checklists.A total of 7264 citations were identified as being published before February 2013, and 109 studies (18 of EIBI, 18 of social skills training, 4 of TEACCH, and 69 of interventions involving significant others) were included in the analysis. The included studies

Tatja Hirvikoski, Ulf Jonsson, Linda Halldner, Aiko Lundequist, Elles de Schipper, Viviann Nordin, Sven Bölte

Scandinavian Journal of Child and Adolescent Psychiatry and Psychology , ISSUE 3, 147–168

Research Article

Child self-report and parent ratings for the Strengths and Difficulties Questionnaire: Norms and agreement in a Swedish random population sample

children aged 11 to 16 years, 100 per age group, and one of their parents (N=1200) yielded a sampling pool of 1158 participants and a 34.8% response rate, including 175 child–parent pairs and 27 and 26 child/parent singletons. Responses to child and parent versions of the extended SDQ were analyzed by child gender and age. Child–parent agreement was evaluated using the Prevalence- and Bias-Adjusted Kappa and Bland–Altman plots.Results:Older children reported greater difficulties compared with younger

Bojing Liu, Karin Engström, Isabel Jadbäck, Sara Ullman, Anne H. Berman

Scandinavian Journal of Child and Adolescent Psychiatry and Psychology , ISSUE 1, 13–27

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