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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

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FEATURED ARTICLES

The Achievements of Students at the Stages of Education from the Second to Fourth Using Functional Principal Component Analysis
On the Performance of Some Biased Estimators in a Misspecified Model with Correlated Regressors

VOLUME 18 , ISSUE 4 (December 2017) - List of articles

Full Issue

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

Kumari Priyanka/ Richa Mittal

The key and fundamental purpose of sampling over successive waves lies in the varying nature of study character, it so may happen with ancillary information if the time lag between two successive waves is sufficiently large. Keeping the varying nature of auxiliary information in consideration, modern approaches have been proposed to estimate population mean over two successive waves. Four exponential ratio type estimators have been designed. The properties of proposed estimators have been elabor(..)

DOI: 10.21307/stattrans-2017-001

Published Online: 22-January-2018

BAYESIAN ESTIMATION OF MEASLES VACCINATION COVERAGE UNDER RANKED SET SAMPLING

Radhakanta Das/ Vivek Verma/ Dilip C. Nath

The present article is concerned with the problem of estimating an unknown population proportion p, say, of a certain population characteristic in a dichotomous population using the data collected through ranked set sampling (RSS) strategy. Here, it is assumed that the proportion p is not fixed but a random quantity. A Bayes estimator of p is proposed under squared error loss function assuming that the prior density of p belongs to the family of Beta distributions. The performance of the propose(..)

DOI: 10.21307/stattrans-2017-002

Published Online: 22-January-2018

MAPPING POVERTY AT THE LEVEL OF SUBREGIONS IN POLAND USING INDIRECT ESTIMATION

Marcin Szymkowiak/ Andrzej Młodak/ Łukasz Wawrowski

The European Survey on Income and Living Conditions (EU–SILC) is the basic source of information published by CSO (the Central Statistical Office of Poland) about the relative poverty indicator, both for the country as a whole and at the regional level (NUTS 1). Estimates at lower levels of the territorial division than regions (NUTS 1) or provinces (NUTS 2, also called ’voivodships’) have not been published so far. These estimates can be calculated by means of indirect estimation methods, which(..)

DOI: 10.21307/stattrans-2017-003

Published Online: 22-January-2018

A NEW ESTIMATOR OF MEAN USING DOUBLE SAMPLING

Kalyan Rao Vadlamudi/ Stephen A. Sedory/ Sarjinder Singh

In this paper, we consider the problem of estimation of population mean of a study variable by making use of first-phase sample mean and first-phase sample median of the auxiliary variable at the estimation stage. The proposed new estimator of the population mean is compared to the sample mean estimator, ratio estimator and the difference type estimator for the fixed cost of the survey by using the concept of two-phase sampling. The magnitude of the relative efficiency of the proposed new estima(..)

DOI: 10.21307/stattrans-2017-004

Published Online: 22-January-2018

RELATIONS FOR MOMENTS OF PROGRESSIVELY TYPE-II RIGHT CENSORED ORDER STATISTICS FROM ERLANG-TRUNCATED EXPONENTIAL DISTRIBUTION

Mansoor Rashid Malik/ Devendra Kumar

In this paper, we establish some new recurrence relations for the single and product moments of progressively Type-II right censored order statistics from the Erlangtruncated exponential distribution. These relations generalize those established by Aggarwala and Balakrishnan (1996) for standard exponential distribution. These recurrence relations enable computation of mean, variances and covariances of all progressively Type-II right censored order statistics for all sample sizes in a simple and(..)

DOI: 10.21307/stattrans-2017-005

Published Online: 22-January-2018

A GENERALIZED RANDOMIZED RESPONSE MODEL

Housila P. Singh/ Swarangi M. Gorey

In this paper we have suggested a generalized version of the Gjestvang and Singh (2006) model and have studied its properties. We have shown that the randomized response models due to Warner (1965), Mangat and Singh (1990), Mangat (1994) and Gjestvang and Singh (2006) are members of the proposed RR model. The conditions are obtained in which the suggested RR model is more efficient than the Warner (1965) model, Mangat and Singh (1990) model and Mangat (1994) model and Gjestvang and Singh (2006) (..)

DOI: 10.21307/stattrans-2017-006

Published Online: 22-January-2018

THE INTER-COUNTRY COMPARISON OF THE COST OF CHILDREN MAINTENANCE USING HOUSING EXPENDITURE

Małgorzata Kalbarczyk2,/ Agata Miazga3,/ Anna Nicińska4

It is interesting to compare maintenance costs of children between countries with similar yet different family policy regimes because this could yield valuable lessons for researchers and policy-makers and also for the sake of methodological development. In this study, we aim to conduct a comparative analysis of the equivalence scales in Austria, Italy, Poland and France taking into account the age of children. To this end, we use data from the European Income and Living Condition (EU-SILC) to c(..)

DOI: 10.21307/stattrans-2017-007

Published Online: 22-January-2018

IMPROVEMENT OF FUZZY MORTALITY MODELS BY MEANS OF ALGEBRAIC METHODS

Andrzej Szymański/ Agnieszka Rossa

The forecasting of mortality is of fundamental importance in many areas, such as the funding of public and private pensions, the care of the elderly, and the provision of health service. The first studies on mortality models date back to the 19th century, but it was only in the last 30 years that the methodology started to develop at a fast rate. Mortality models presented in the literature form two categories (see, e.g. Tabeau et al., 2001, Booth, 2006) consisting of the so-called static or sta(..)

DOI: 10.21307/stattrans-2017-008

Published Online: 22-January-2018

ESTIMATION OF SMALL AREA CHARACTERISTICS USING MULTIVARIATE RAO-YU MODEL

Alina Jędrzejczak/ Jan Kubacki

The growing demand for high-quality statistical data for small areas coming from both the public and private sector makes it necessary to develop appropriate estimation methods. The techniques based on small area models that combine time series and cross-sectional data allow for efficient "borrowing strength" from the entire population and they can also take into account changes over time. In this context, the EBLUP estimation based on multivariate Rao-Yu model, involving both autocorrelated ran(..)

DOI: 10.21307/stattrans-2017-009

Published Online: 22-January-2018

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