<abstract xmlns="http://www.w3.org/1999/xhtml"><p> The present work is an attempt to study the effect of non-response at both occasions in search of good successive (rotation) sampling over two occasions. A chain-type ratio and regression estimator has been proposed for estimating the population mean at current occasion in presence of non-response at both the occasion in two-occasion successive (rotation) sampling. Detail behaviors of proposed estimators have been studied. Proposed estimators are compared with the estimators for the same situations but in the absence of non-response. Performances of the proposed estimators have been demonstrated via empirical studies.</p></abstract>

The present work is an attempt to study the effect of non-response at both occasions in search of good successive (rotation) sampling over two occasions. A chain-type ratio and regression estimator has been proposed for estimating the population mean at current occasion in presence of non-response at both the occasion in two-occasion successive (rotation) sampling. Detail behaviors of proposed estimators have been studied. Proposed estimators are compared with the estimators for the same situations but in the absence of non-response. Performances of the proposed estimators have been demonstrated via empirical studies.

Successive sampling strategy under non response

Department of Statistics Gauhati University Guwahati-781014, India

Journal of Applied Mathematics, Statistics and Informatics

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Successive sampling strategy under non response"}

The present work is an attempt to study the effect of non-response at both occasions in search of good successive (rotation) sampling over two occasions. A...

Successive sampling strategy under non response

Pubblicato online: 27 giu 2015

Pagine: 115 - 139

DOI: https://doi.org/10.1515/jamsi-2015-0007

Parole chiave
Non-response, Successive sampling, Auxiliary information, Chain-type ratio and regression, Bias, Mean square error, Optimum replacement policy.

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

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Successive sampling strategy under non response

Pubblicato online: 27 giu 2015

Pagine: 115 - 139

DOI: https://doi.org/10.1515/jamsi-2015-0007

Parole chiaveNon-response, Successive sampling, Auxiliary information, Chain-type ratio and regression, Bias, Mean square error, Optimum replacement policy.

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

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Parole chiave
Non-response, Successive sampling, Auxiliary information, Chain-type ratio and regression, Bias, Mean square error, Optimum replacement policy.