Bayesian estimation based on ranked set sample from Morgenstern type bivariate exponential distribution when ranking is imperfect

被引:0
|
作者
Manoj Chacko
机构
[1] University of Kerala,Department of Statistics
来源
Metrika | 2017年 / 80卷
关键词
Ranked set sampling; Morgenstern type bivariate exponential distribution; Bayes estimate; Concomitants of order statistics;
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中图分类号
学科分类号
摘要
In this paper we consider Bayes estimation based on ranked set sample when ranking is imperfect, in which units are ranked based on measurements made on an easily and exactly measurable auxiliary variable X which is correlated with the study variable Y. Bayes estimators under squared error loss function and LINEX loss function for the mean of the study variate Y, when (X, Y) follows a Morgenstern type bivariate exponential distribution, are obtained based on both usual ranked set sample and extreme ranked set sample. Estimation procedures developed in this paper are illustrated using simulation studies and a real data.
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页码:333 / 349
页数:16
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