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

• Authors: Sharma Prayas
• Languages of publication: EN

Abstracts

EN

Singh and Solanki (2012) and Koyuncu (2012) proposed estimators for estimating population meanY. 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

EN

simple random sampling; stratified random sampling population mean; study variable; exponential ratio type estimators; bias and MSE

• Publisher: Główny Urząd Statystyczny
• Journal: Statistics in Transition new series
• Year: 2014
• Volume: 15
• Issue: 3
• Pages: 379-390

Contributors

author

Sharma Prayas

• Banaras Hindu University

References

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