标题：A New Exponential Approach for Reducing the Mean Squared Errors of the Estimators of Population Mean Using Conventional and Non-Conventional Location Parameters
期刊名称：Journal of Modern Applied Statistical Methods
出版年度：2019
卷号：18
期号：1
页码：26-72
DOI：10.22237/jmasm/1568246400
出版社：Wayne State University
摘要：Classes of ratio-type estimators t (say) and ratio-type exponential estimators te (say) of the population mean are proposed, and their biases and mean squared errors under large sample approximation are presented. It is the class of ratio-type exponential estimators te provides estimators more efficient than the ratio-type estimators.
关键词：study variable; auxiliary variable; bias; mean squared error
