An Efficient Class of Estimators for Finite Population Mean Using Auxiliary Variable

Kuldeep  Kumar Tiwari; Puneet  Kumar

An Efficient Class of Estimators for Finite Population Mean Using Auxiliary Variable

Authors

Kuldeep Kumar Tiwari School of Mathematics, Shri Mata Vaishno Devi University, Katra, Jammu and Kashmir, India
Puneet Kumar Independent Researcher, Jammu, Jammu and Kashmir, India

Keywords:

Auxiliary variable, study variable, estimator, simulation, mean squared error, efficiency

Abstract

We have proposed a general class of estimators for population mean using auxiliary variable in simple random sampling. Our estimator contains various estimators from literature and many more can be developed from it. The expressions for bias and mean square error(MSE) are derived. It is found that the estimator in question is better than the other available alternatives. The Monte-Carlo
simulation is carried out in various cases to show the validity of the estimator.

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Published

2022-09-29

How to Cite

Kumar Tiwari, K. ., & Kumar, P. . (2022). An Efficient Class of Estimators for Finite Population Mean Using Auxiliary Variable. Thailand Statistician, 20(4), 754–765. Retrieved from https://ph02.tci-thaijo.org/index.php/thaistat/article/view/247458