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An Efficient Exponential Ratio-type Estimator in Post-Stratification Using Variable Transformation

K. B. Panda, N. Sahoo

Abstract



Following Tailor and Tailor [11], we propose an exponential ratio-type estimator in post-stratified sampling using variable transformation. The proposed estimator, under certain conditions are shown to be more efficient than some existing estimators, including the usual post-stratified estimator, separate ratio-type estimator for estimating the population mean of the variable under study variable in case of post-stratification, usual dual to separate ratio-type estimator in case of post-stratification, Chouhan [2] and Lone and Tailor [4]. The efficiency of the proposed estimator has also shown through numerical illustrations.

Keywords


Auxiliary information, variable transformation, Post-stratified sampling, bias and mean square error.

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