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 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.


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

Article Details

Author Biographies

Rajesh Singh, Dept. of Statistics BHU, Varanasi (U.P.), India-221005

Assistant Profeesor

Dept. of Statistics

Sachin Malik, Dept of Statistics, BHU, India

Research Scholar

Dept of Statistics

How to Cite
Singh, R., & Malik, S. (2014). An Improved Estimator Of Finite Population Mean Using Auxiliary Attribute(S) In Stratified Random Sampling Under Non-Response. Pakistan Journal of Statistics and Operation Research, 10(2), 147-155.