<abstract xmlns="http://www.w3.org/1999/xhtml"><p> This paper addresses the problem of estimating the population mean at the current occasion in two occasion successive sampling when non-response occurs on the current (second) occasions. Using the power transformation we have suggested classes of estimators of current population mean and their properties are studied. Optimum replacement strategies for the proposed estimators have been given and empirical studies are carried out to assess the performance of estimators. We have made suitable recommendation to the practitioners on the basis of the empirical study.</p></abstract>

This paper addresses the problem of estimating the population mean at the current occasion in two occasion successive sampling when non-response occurs on the current (second) occasions. Using the power transformation we have suggested classes of estimators of current population mean and their properties are studied. Optimum replacement strategies for the proposed estimators have been given and empirical studies are carried out to assess the performance of estimators. We have made suitable recommendation to the practitioners on the basis of the empirical study.

Use of power transformation for estimating the population mean in presence of non-response in successive sampling

Journal of Applied Mathematics, Statistics and Informatics

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

This paper addresses the problem of estimating the population mean at the current occasion in two occasion successive sampling when non-response occurs on the...

Use of power transformation for estimating the population mean in presence of non-response in successive sampling

Publié en ligne: 11 janv. 2018

Pages: 109 - 140

DOI: https://doi.org/10.1515/jamsi-2017-0012

Mots clés
Auxiliary variate, Study variate, Bias, Mean squared error, Non- response, Efficiency

© Faculty of Natural Sciences, University of Saint Cyril and Metodius

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Use of power transformation for estimating the population mean in presence of non-response in successive sampling

Publié en ligne: 11 janv. 2018

Pages: 109 - 140

DOI: https://doi.org/10.1515/jamsi-2017-0012

Mots clésAuxiliary variate, Study variate, Bias, Mean squared error, Non- response, Efficiency

© Faculty of Natural Sciences, University of Saint Cyril and Metodius

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Mots clés
Auxiliary variate, Study variate, Bias, Mean squared error, Non- response, Efficiency