期刊名称：Pakistan Journal of Statistics and Operation Research
印刷版ISSN：2220-5810
出版年度：2016
卷号：12
期号：3
页码：507-518
DOI：10.18187/pjsor.v12i3.1271
语种：English
出版社：College of Statistical and Actuarial Sciences
摘要：In this paper, we propose an efficient class of ratio-in-exponential-type estimators with two concomitant variables using Ranked Set Sampling (RSS) scheme which improves the available estimators. The biases and mean square errors (MSEs) of the proposed estimators are obtained up to first degree approximation. Comparisons among the proposed and competitor estimators are made both theoretically and through simulation study. It turned out that when the variable of interest and the concomitant variables jointly followed a trivariate Gamma distribution, the proposed class of estimators dominates all other competitor estimators.
其他摘要：In this paper, we propose an efficient class of ratio-in-exponential-type estimators with two concomitant variables using Ranked Set Sampling (RSS) scheme which improves the available estimators. The biases and mean square errors (MSEs) of the proposed estimators are obtained up to first degree approximation. Comparisons among the proposed and competitor estimators are made both theoretically and through simulation study. It turned out that when the variable of interest and the concomitant variables jointly followed a trivariate Gamma distribution, the proposed class of estimators dominates all other competitor estimators.
关键词：Ranked set sampling; MSE; Bias; concomitant variables.
