RATIO AND RATIO TYPE SEPARATE ESTIMATOR FOR POPULATION MEAN WHEN COEFFICIENT OF VARIATION IS KNOWN

Authors

  • Rajesh Tailor School of Studies in Statistics, Vikram University, Ujjain, India
  • Asha Mishra School of Studies in Statistics, Vikram University, Ujjain, India

Keywords:

Population Mean, Sample Mean, Stratification, Separate Type Estimator, Separate Ratio and Ratio Type Estimator

Abstract

This paper deals with the problem of estimation of the finite population mean using auxiliary information. A ratio and ratio type separate estimator has been suggested for the finite population mean. The bias and mean squared error have been derived. The suggested estimator has been compared theoretically as well as empirically with existing estimators.

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References

Hansen, M.H., Hurwitz, W.N. and Gurney, M. (1946). Problem and methods of the sample survey of business. J. Amer. Statist. Assoc., 41, p. 173-189.

Singh, M. P. (1967). Ratio-cum-product method of estimation. Metrika, 12, p. 34-42.

Tailor, R., Tailor, R., Parmar, R., and Kumar, M.(2012). Dual to ratio-cum- product estimator using known parameters of auxiliary variable. Journal of Reliability and Statistical Studies, 5(1), 65-71.

Lone,H.A. and Tailor,R. (2014). Dual to separate ratio type exponential estimator in post-stratification, J. Statist. Appl. Prob. 3(3), p. 425−432.

Chouhan, S. (2012). Improved estimation of parameters using auxiliary information in sample surveys, Ph.D Thesis, Vikram University, Ujjain, M.P.,India.

Ministry of Agriculture [ Website: (http://agricoop.nic.in/agristatistics.html)].

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Published

2018-05-05

How to Cite

Tailor, R. ., & Mishra, A. . (2018). RATIO AND RATIO TYPE SEPARATE ESTIMATOR FOR POPULATION MEAN WHEN COEFFICIENT OF VARIATION IS KNOWN. Journal of Reliability and Statistical Studies, 11(01), 45–50. Retrieved from https://journals.riverpublishers.com/index.php/JRSS/article/view/20899

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