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Abstract

This paper deals with the problem of estimating the finite population mean using auxiliary information in simple random sampling. Firstly we have suggested a correction to the mean squared error of the estimator proposed by Gupta and Shabbir [On improvement in estimating the population mean in simple random sampling. Jour. Appl. Statist. 35(5) (2008), pp. 559-566]. Later we have proposed a ratio type estimator and its properties are studied in simple random sampling. Numerically we have shown that the proposed class of estimators is more efficient than different known estimators including Gupta and Shabbir (2008) estimator.

Keywords

Study variate Auxiliary variate Finite population mean Bias Mean squared error.

Article Details

Author Biographies

Housila P. Singh, Vikram University, Ujjain, India.

School of Studies in Statistics

Professor

Ramkrishna Singh Solanki, Vikram University, Ujjain, India.

School of Studies in Statistics

Research Scholor

How to Cite
Singh, H. P., & Solanki, R. S. (2012). An alternative procedure for estimating the population mean in simple random sampling. Pakistan Journal of Statistics and Operation Research, 8(2), 213-232. https://doi.org/10.18187/pjsor.v8i2.252