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Statistics in Transition New Series

An International Journal of the Polish Statistical Association

Polish Statistical Association

Central Statistical Office of Poland

Subject: Economics , Statistics & Probability

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ISSN: 1234-7655
eISSN: 2450-0291

DESCRIPTION

FEATURED ARTICLES

SUBJECTIVE AND COMMUNITY WELL-BEING INTERACTION IN A MULTILEVEL SPATIAL  MODELLING FRAMEWORK
LINEAR CHOLESKY DECOMPOSITION OF COVARIANCE MATRICES IN MIXED MODELS WITH CORRELATED RANDOM EFFECTS

VOLUME 20 , ISSUE 1 (March 2019) - List of articles

PLANNING THE NEXT CENSUS  FOR ISRAEL

Danny Pfeffermann/ Dano Ben-Hur/ Olivia Blum

Like in many countries, Israel has a fairly accurate population register at the national level, consisting of about 9 million persons (not including Israelis living abroad). However, the register is much less accurate for small geographical (statistical) areas, with an average area enumeration error of about 13%. The main reason for the inaccuracy at the area level is that people moving in or out of an area are often late in reporting their change of address, and in some cases, not reporting at (..)

DOI: 10.21307/stattrans-2019-001

IMPUTATION OF MISSING VALUES BY USING RAW MOMENTS

Muhammed Umair Sohail/ Javid Shabbir/ Farinha Sohil

The estimation of population parameters might be quite laborious and inefficient, when the sample data have missing values. In comparison follow-up visits, the method of imputation has been found to be a cheaper procedure from a cost point of view. In the present study, we can enhance the performance of imputation procedures by utilizing the raw moments of the auxiliary information rather than their ranks, especially, when the ranking of the auxiliary variable is expensive or difficult to do so. E(..)

DOI: 10.21307/stattrans-2019-002

MODELLING SENSITIVE ISSUES ON SUCCESSIVE WAVES

Kumari Priyanka/ Pidugu Trisandhya

This paper addresses the problem of estimation of population mean of sensitive character using non-sensitive auxiliary variable at current wave in two wave successive sampling. A general class of estimator is proposed and studied under randomized and scrambled response model. Many existing estimators have been modified to work for sensitive population mean estimation. The modified estimators became the members of proposed general class of estimators. The detail properties of all the estimators hav(..)

DOI: 10.21307/stattrans-2019-003

NONRANDOMIZED RESPONSE MODEL  FOR COMPLEX SURVEY DESIGNS

Raghunath Arnab/ Dahud Kehinde Shangodoyin/ Antonio Arcos

Warner’s randomized response (RR) model is used to collect sensitive information for a broad range of surveys, but it possesses several limitations such as lack of reproducibility, higher costs and it is not feasible for mail questionnaires. To overcome such difficulties, nonrandomized response (NRR) surveys have been proposed. The proposed NRR surveys are limited to simple random sampling with replacement (SRSWR) design. In this paper, NRR procedures are extended to complex survey designs in a (..)

DOI: 10.21307/stattrans-2019-004

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

Y. S. Ramakrishnaiah/ Manish Trivedi/ Konda Satish

The present paper revisits an estimator proposed by Boes (1966) – James (1978), herein called BJ estimator, which was constructed for estimating mixing proportion in a mixed model based on independent and identically distributed (i.i.d.) random samples, and also proposes a completely new (smoothed) estimator for mixing proportion based on independent and not identically distributed (non-i.i.d.) random samples. The proposed estimator is nonparametric in true sense based on known “kernel function”(..)

DOI: 10.21307/stattrans-2019-005

THE ODD GENERALIZED EXPONENTIAL LOG-LOGISTIC DISTRIBUTION GROUP ACCEPTANCE SAMPLING PLAN

Devireddy Charana Udaya Sivakumar/ Rosaiah Kanaparthi/ Gadde Srinivasa Rao/ Kruthiventi Kalyani

In this manuscript, a group acceptance sampling plan (GASP) is developed when the lifetime of the items follows odd generalized exponential log-logistic distribution (OGELLD), the multiple number of items as a group can be tested simultaneously in a tester. The design parameters such as the minimum group size and the acceptance number are derived when the consumer’s risk and the test termination time are specified. The operating characteristic (OC) function values are calculated (intended) accor(..)

DOI: 10.21307/stattrans-2019-006

FORMULATION OF THE SIMPLE MARKOVIAN MODEL USING FRACTIONAL CALCULUS APPROACH AND ITS APPLICATION TO ANALYSIS OF QUEUE BEHAVIOUR OF SEVERE PATIENTS

Soma Dhar/ Lipi B. Mahanta/ Kishore Kumar Das

In this paper, we introduce a fractional order of a simple Markovian model where the arrival rate of the patient is Poisson,i.e. independent of the patient size. Fractionis obtained by replacing the first order time derivative in the difference differential equations which govern the probability law of the process with the Mittag-Leffler function. We derive the probability distribution of the number N(t) of patients suffering from severe disease at an arbitrary time t. We also obtain the mean si(..)

DOI: 10.21307/stattrans-2019-007

AN APPLICATION OF FUNCTIONAL DATA ANALYSIS TO LOCAL DAMAGE DETECTION

Jacek Leśkow/ Maria Skupień

Vibration signals sampled with a high frequency constitute a basic source of informa-tion about machine behaviour. Few minutes of signal observations easily translate into several millions of data points to be processed with the purpose of the damage detection. Big dimensionality of data sets creates serious difficulties with detection of frequencies specific for a particular local damage. In view of that, traditional spectral analysis tools like spectrograms should be improved to efficiently id(..)

DOI: 10.21307/stattrans-2019-008

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

Sukanya Intarapak/ Thidaporn Supapakorn

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 square(..)

DOI: 10.21307/stattrans-2019-009

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

Ewa Wycinka/ Tomasz Jurkiewicz

Survival data is a special type of data that measures the time to an event of interest. The most important feature of survival data is the presence of censored observations. An observation is said to be right-censored if the time of the observation is, for some reason, shorter than the time to the event. If no censoring occurs in the data, standard statistical models can be used to analyse the data. Pseudo-observations can replace censored observations and thereby allow standard statistical mode(..)

DOI: 10.21307/stattrans-2019-010

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