Dual to Ratio Estimators of Population Mean in Post-Stratified Sampling using Known Value of Some Population Parameters

Authors

  • Dr. Onyeka

  • Dr. Onyeka

auxiliary information, general family of estimators, post-stratified sampling, mean squared errors

Abstract

This paper extends the work carried out by Onyeka (2012), by proposing a class of dual to ratio combined estimators of the population mean in post-stratified sampling when using known value of some population parameters. The proposed estimators, under certain conditions, are shown to be more efficient than some existing estimators, including the usual poststratified estimator and the estimators proposed by Onyeka (2012). Properties of the proposed class of estimators, including conditions for optimal efficiency, are obtained up to first order approximation. The results are illustrated using empirical data.

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How to Cite

Dual to Ratio Estimators of Population Mean in Post-Stratified Sampling using Known Value of Some Population Parameters. (2013). Global Journal of Science Frontier Research, 13(F2), 13-23. https://www.journalofscience.org/index.php/GJSFR/article/view/789

References

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Dual to Ratio Estimators of Population Mean in Post-Stratified Sampling using Known Value of Some Population Parameters

Published

2013-04-10

How to Cite

Dual to Ratio Estimators of Population Mean in Post-Stratified Sampling using Known Value of Some Population Parameters. (2013). Global Journal of Science Frontier Research, 13(F2), 13-23. https://www.journalofscience.org/index.php/GJSFR/article/view/789