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This paper suggests a two-parameter ratio-product-ratio type exponential estimator for a finite population mean in simple random sampling without replacement (SRSWOR) following the methodology in the studies of Singh and Espejo (2003) and Chami et al (2012). The bias and mean squared error of the suggested estimator are obtained to the first degree of approximation.  The conditions are obtained in which suggested estimator is more efficient than the sample mean, classical ratio and product estimators, ratio-type and product type exponential estimators. An empirical study is given in support of the present study.


Finite populations mean Study Variable Auxiliary Variable Bias Mean Squared Error.

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Author Biographies

Housila P Singh, Vikram University

School of studies in Statistics< Vikram University, Ujjain, M.P.

Anita Yadav, Vikram University

School of Studies in Statistics, Vikram University,Ujjain ,Madhya Pradesh
How to Cite
Singh, H. P., & Yadav, A. (2018). A Two-Parameter Ratio-Product-Ratio Type Exponential Estimator for Finite Population Mean in Sample Surveys. Pakistan Journal of Statistics and Operation Research, 14(2), 215-232.