An Improved Estimator Of Finite Population Mean Using Auxiliary Attribute(S) In Stratified Random Sampling Under Non-Response

Rajesh Singh, Sachin Malik

Abstract


 In the present study, we propose a new estimator for population mean in the case of stratified random sampling using Singh et al. (2007) and Kadilar and Cingi (2005) estimators when the information is available in form of of attributes under non-response. Expressions for the mean squared error ( MSE) of the proposed estimators  are derived up to the first degree of approximation. The theoretical conditions have also been verified by a numerical example. It has been shown that the proposed estimators are more efficient than the traditional estimators.


Keywords


Stratified random sampling, Combined exponential ratio type estimator, bias, mean Square error, auxiliary attribute, efficiency

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DOI: http://dx.doi.org/10.18187/pjsor.v10i2.543

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Title

An Improved Estimator Of Finite Population Mean Using Auxiliary Attribute(S) In Stratified Random Sampling Under Non-Response

Keywords

Stratified random sampling, Combined exponential ratio type estimator, bias, mean Square error, auxiliary attribute, efficiency

Description

 In the present study, we propose a new estimator for population mean in the case of stratified random sampling using Singh et al. (2007) and Kadilar and Cingi (2005) estimators when the information is available in form of of attributes under non-response. Expressions for the mean squared error ( MSE) of the proposed estimators  are derived up to the first degree of approximation. The theoretical conditions have also been verified by a numerical example. It has been shown that the proposed estimators are more efficient than the traditional estimators.


Date

2014-08-12

Identifier


Source

Pakistan Journal of Statistics and Operation Research; Vol. 10 No. 2, 2014



Print ISSN: 1816-2711 | Electronic ISSN: 2220-5810