A New Data Gathering Exponential Type Ratio Estimator for the Population Mean
Zahoor A. Ganie
Department of Electrical Engineering, IUST, Kashmir -192122, India.
Tanveer A. Tarray *
Department of Mathematical Sciences, IUST, Kashmir-192122, India.
. Khalid–Ul–Islam–Rather
Division of Statistics and Computer Science, Main Campus SKUAST-J, Chatha Jammu- 180009, India.
*Author to whom correspondence should be addressed.
Abstract
In this article we proposed a new data gathering exponential ratio type estimator for the estimation of finite population mean under systematic sampling .The mean square error of the suggested estimator is computed up to the first degree of approximation and we find suggested estimator is efficient as compared with existing estimators. Furthermore this result is supported by numerical examples as well.
Keywords: Exponential ratio type estimator, systematic sampling, mean square error (MSE), efficiency