RATIO –CUM- PRODUCT ESTIMATOR OF FINITE POPULATION MEAN IN DOUBLE SAMPLING FOR STRATIFICATION

Authors

  • Rajesh Tailor School of Studies in Statistics, Vikram University, Ujjain-456010, M.P. India
  • Hilal A. Lone School of Studies in Statistics, Vikram University, Ujjain-456010, M.P. India

Keywords:

Finite Population Mean, Double Sampling For Stratification, Bias, Mean Squared Error.

Abstract

In this paper a class of ratio-cum-product estimator of population mean using auxiliary information is suggested in double sampling for stratification with their properties. The bias and mean squared error of the suggested estimator is obtained up to the first degree of approximation. The suggested estimator has been compared with ratio and product estimators given by Ige and Tripathi (1987) and usual unbiased estimator of population mean in double sampling for stratification. Asymptotic optimum estimator is identified. Estimator based on estimated optimum value is also obtained. An empirical study has been carried out to assess the performance of the suggested estimator.

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References

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Published

2014-06-02

How to Cite

Tailor, R. ., & Lone, H. A. . (2014). RATIO –CUM- PRODUCT ESTIMATOR OF FINITE POPULATION MEAN IN DOUBLE SAMPLING FOR STRATIFICATION. Journal of Reliability and Statistical Studies, 7(01), 93–101. Retrieved from https://journals.riverpublishers.com/index.php/JRSS/article/view/21607

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