Estimation of Mean in Double Sampling Using Exponential Technique on Multi-auxiliary Variates

作     者：Manish Kumar Gajendra K.Vishwakarma 

作者机构：Centre for Applied MathematicsCentral University of JharkhandBrambe 835205India Department of Applied MathematicsIndian Institute of Technology(ISM)DhanbadDhanbad 826004India 

出 版 物：《Communications in Mathematics and Statistics》 (数学与统计通讯（英文）)

年 卷 期：2017年第5卷第4期

页      面：429-445页

核心收录：

学科分类：07[理学] 0714[理学-统计学（可授理学、经济学学位）] 0701[理学-数学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 070101[理学-基础数学] 

主　　题：Study variate Auxiliary variate Double sampling Bias MSE 

摘      要：This paper presents exponential-type ratio and product estimators for a finite population mean in double sampling using information on several auxiliary *** proposed estimators can be viewed as a generalization over the estimators suggested by Singh and Vishwakarma(Austrian J Stat 36(3):217–225,2007).The expressions for biases and mean square errors(MSEs)of the proposed estimators have been derived to the first degree of *** addition,the expressions for minimum attainable MSEs are also investigated using the criterion for optimality of the *** empirical study is carried out in the support of the present *** theoretical andempirical findings are encouraging and support thesoundness that the proposed procedures for mean estimation perform better than the usual unbiased estimators and other well-known estimators under some realistic conditions.