期刊名称：Journal of Reliability and Statistical Studies
印刷版ISSN：0974-8024
电子版ISSN：2229-5666
出版年度：2011
卷号：4
期号：1
页码：53-63
出版社：Ankur Printing Palace
摘要：In this paper,we propose to use an improved sampling strategy based on themodified ratio estimator using the population coefficient of variationand the coefficientof kurtosisof the auxiliary variableby Upadhyay and Singh (1999)for estimating thepopulation mean (total) of the study variable in a finite population. Also the proposedsampling strategy is shown to be better in the sense of unbiased and smaller meansquare error. A generalized Jack-Knife estimator is proposed and it is shown that theproposed Jack-Knife estimator is unbiased to the first order of approximation.Acomparative study is made with usual sampling strategies utilizing the optimizing valueof the characterizingscalar
关键词：Ratio estimator; coefficient of variation; unbiasedness; mean sq uare error;Jack;-;Knife technique
