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A Two-Parameter Ratio-Product-Ratio Type Exponential Estimator for Finite Population Mean in Sample Surveys
Author(s):
1. Housila P. Singh: School of Studies in Statistics, Vikram University, Ujjain- 456010, M.P., India
2. Anita Yadav: School of Studies in Statistics, Vikram University, Ujjain- 456010, M.P., India
Abstract:
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, ratiotype and product type exponential estimators. An empirical study is given in support of the present study.
Page(s): 215-232
DOI: DOI not available
Published: Journal: Pakistan Journal of Statistics and Operation Research, Volume: 14, Issue: 2, Year: 2018
Keywords:
bias , Auxiliary Variable , Finite populations mean , Study Variable , Mean Squared Error
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