REGRESSION TYPE DOUBLE SAMPLING ESTIMATOR OF POPULATION MEAN USING AUXILIARY INFORMATION

Authors

  • Peeyush Misra Department of Statistics, D.A.V.(P.G.) College, Dehradun, India

Keywords:

Auxiliary Information, Bias, Mean Squared Error, Percent Relative Efficiency

Abstract

In this paper, a regression type double sampling estimator is introduced to estimate the population mean by using auxiliary information. The expressions for bias and mean squared error are found for the new introduced regression type double sampling estimator of population mean. A comparative study with some of the well-known estimators of the population mean has been done. A separate numerical study is also included to illustrate the performance of the new introduced estimator.

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References

Cochran, W.G. (1977): Sampling Techniques, 3rd edition, John Wiley and Sons, New York.

Des Raj (1968): Sampling Theory, McGraw- Hill, New York.

Mukhopadhyay, Parimal (2012): Theory and Methods of Survey and Sampling, 2nd edition, PHI Learning Private Limited, New Delhi, India.

Sheela Misra, Singh, R. K. and Shukla, A. K. (2013): Modified regression approach in prediction of finite population mean using known coefficient of Variation, Journal of Reliability and Statistical Studies, Vol. 6, Issue 1, p. 59- 67.

Subramani, J. and Kumarapandian, G. (2012): A class of modified linear regression estimators for estimation of finite population mean, Journal of Reliability and Statistical Studies, Vol. 5, Issue 2, p. 01- 10.

Sukhatme, P. V., Sukhatme, B. V., Sukhatme, S. And Asok, C. (1984): Sampling Theory of Surveys with Applications, 3rd Edition, Ames, Iowa (USA) and Indian Society of Agricultural Statistics, New Delhi, India.

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Published

2018-04-28

How to Cite

Misra, P. . (2018). REGRESSION TYPE DOUBLE SAMPLING ESTIMATOR OF POPULATION MEAN USING AUXILIARY INFORMATION. Journal of Reliability and Statistical Studies, 11(01), 21–28. Retrieved from https://journals.riverpublishers.com/index.php/JRSS/article/view/20895

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