Improved Estimators for Simple Random Sampling and Stratified Random Sampling Under Second Order of Approximation

Prayas Sharma () and Rajesh Singh ()

Statistics in Transition new series, 2013, vol. 14, issue 3, 379-390

Abstract: Singh and Solanki (2012) and Koyuncu (2012) proposed estimators for estimating population mean Y . Up to the first order of approximation and under optimum conditions, the minimum mean squared error of both the estimators is equal to the MSE of the regression estimator. In this paper, we have tried to find out the second order biases and mean square errors of these estimators using information on auxiliary variable based on simple random sampling. Finally, we have compared the performance of these estimators with some numerical illustration.

Keywords: simple random sampling; stratified random sampling; population mean; study variable; exponential ratio type estimators; bias and MSE (search for similar items in EconPapers)
Date: 2013
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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