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Abstract

The present article offers more efficient imputation based estimators of the population mean under the framework of two-phase sampling in presence of an auxiliary variable. The theoretical conditions stating superiority of the proposed estimators, over some prevalent existing competitive estimators, in terms of relative efficiency is established by numerical illustrations based on three different data sets from the classical statistical literature.

Keywords

Bias Mean squared error Two-phase sampling scheme Relative efficiency

Article Details

Author Biographies

Ranjita Pandey, University of Delhi

Assistant Professor,Department of Statistics,University of Delhi

Kalpana Yadav, Department of Statistics,University of Delhi

Research Scholar,Department of Statistics,University of Delhi
How to Cite
Pandey, R., & Yadav, K. (2016). Mean Estimation under Imputation based on Two-Phase Sampling Design using an Auxiliary Variable. Pakistan Journal of Statistics and Operation Research, 12(4), 639-658. https://doi.org/10.18187/pjsor.v12i4.1399