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  • Statistics In Transition

 

Research paper | 31-October-2017

AN APPROXIMATION TO THE OPTIMAL SUBSAMPLE ALLOCATION FOR SMALL AREAS

W. B. Molefe, D. K. Shangodoyin, R. G. Clark

Statistics in Transition New Series, Volume 16 , ISSUE 2, 163–182

Article | 24-August-2017

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

In sample surveys weighting is applied to data to increase the quality of estimates. Data weighting can be used for several purposes. Sample design weights can be used to adjust the differences in selection probabilities for non-self weighting sample designs. Sample design weights, adjusted for nonresponse and non-coverage through the sequential data weighting process. The unequal selection probability designs represented the complex sampling designs. Among many reasons of weighting, the most

Aylin Alkaya, H. Öztaş Ayhan, Alptekin Esin

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

Article | 15-September-2020

Skew normal small area time models for the Brazilian annual service sector survey

Small domain estimation covers a set of statistical methods for estimating quantities in domains not previously considered by the sample design. In such cases, the use of a model-based approach that relates sample estimates to auxiliary variables is indicated. In this paper, we propose and evaluate skew normal small area time models for the Brazilian Annual Service Sector Survey (BASSS), carried out by the Brazilian Institute of Geography and Statistics (IBGE). The BASSS sampling plan cannot

André Felipe Azevedo Neves, Denise Britz do Nascimento Silva, Fernando Antônio da Silva Moura

Statistics in Transition New Series, Volume 21 , ISSUE 4, 84–102

Article | 15-September-2020

An evaluation of design-based properties of different composite estimators

synthetic populations that resemble the Current Population Survey (CPS) data. To draw samples from these synthetic populations, we consider a simplified sample design that mimics the CPS sample design with the same rotation pattern. Since the number of possible samples that can be drawn from each synthetic population is not large, we compute the exact Σ and the exact mean squared error of all estimators considered to facilitate comparison. To generate the first set of rival estimators, we consider

Daniel Bonnéry, Yang Cheng, Partha Lahiri

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

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