An Improved Class of Estimators of Population Mean under Simple Random Sampling

Year: 2021       Vol.: 70       No.: 1      

Authors: Shashi Bhushan, Anoop Kumar, and Saurabh Singh and Sumit Kumar

Abstract:

In this article, we consider an improved class of estimators of population mean using additional information under simple random sampling (SRS). The expressions of bias and mean square error of the proposed class of estimators are obtained up to first order of approximation. In addition, some well-known estimators have been identified as particular member of the proposed class of estimators. The theoretical results are established and empirical study has been carried out using real and simulated data sets. The findings appear to be rather satisfactory showing better improvement over the existing estimators.

Keywords: simple random sampling, mean square error, efficiency

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