Improved Ratio Type Estimator Using Two Auxiliary Variables under Second Order Approximation

Authors

  • Prayas Sharma Department of Statistics, Banaras Hindu University, Varanasi-221005, India
  • Rajesh Singh Department of Statistics, Banaras Hindu University, Varanasi-221005, India

DOI:

https://doi.org/10.15415/mjis.2014.22014

Keywords:

simple random sampling, population mean, study variable, auxiliary variable, ratio type estimator, product estimator, Bias and MSE

Abstract

In this paper, we have proposed a new Ratio Type Estimator using auxiliary information on two auxiliary variables based on Simple random sampling without replacement (SRSWOR). The proposed estimator is found to be more efficient than the estimators constructed by Olkin (1958), Singh (1965), Lu (2010) and Singh and Kumar (2012) in terms of second-order mean square error.

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References

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Published

2014-03-03

How to Cite

Prayas Sharma, and Rajesh Singh. 2014. “Improved Ratio Type Estimator Using Two Auxiliary Variables under Second Order Approximation”. Mathematical Journal of Interdisciplinary Sciences 2 (2):179-90. https://doi.org/10.15415/mjis.2014.22014.

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Articles