DUAL TO RATIO-CUM-PRODUCT ESTIMATOR USING KNOWN PARAMETERS OF AUXILIARY VARIABLES

Authors

  • Rajesh Tailor School of Studies in Statistics, Vikram University, Ujjain, M.P., India
  • Ritesh Tailor Wood Properties and Uses Division, Institute of Wood Science and Technology (IWST), Bangalore, India
  • Rajesh Parmar School of Studies in Statistics, Vikram University, Ujjain, M.P., India
  • Manish Kumar Rain Forest Research Institute Jorhat, Assam, India

Keywords:

Dual, Ratio-cum-product, Bias, Mean Squared Error.

Abstract

This paper deals with the dual to ratio-cum-product estimator for population mean using known parameters of auxiliary variables. In this paper, dual to ratio-cum-product estimator of Singh and Tailor (2005) has been suggested. The Bias and mean squared error expressions have also been obtained up to the first degree of approximation. Suggested estimator has been compared theoretically as well as empirically.

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References

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Published

2012-06-05

How to Cite

Tailor, R. ., Tailor, R. ., Parmar, R. ., & Kumar, M. . (2012). DUAL TO RATIO-CUM-PRODUCT ESTIMATOR USING KNOWN PARAMETERS OF AUXILIARY VARIABLES. Journal of Reliability and Statistical Studies, 5(01), 65–71. Retrieved from https://journals.riverpublishers.com/index.php/JRSS/article/view/21939

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