Bayesian inference for a common scale parameter of several Pareto populations

被引:2
|
作者
Gunasekera, Sumith [1 ]
机构
[1] Univ Tennessee, Dept Math, Chattanooga, TN USA
关键词
Bayesian hypothesis testing; common scale parameter; credible intervals; Gibbs sampling; Pareto distribution; CONFIDENCE-INTERVALS; DISTRIBUTIONS;
D O I
10.1080/03610926.2015.1048890
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
This article deals with the problem of Bayesian inference concerning the common scale parameter of several Pareto distributions. Bayesian hypothesis testing of, and Bayesian interval estimation for, the common scale parameter is given. Numerical studies including a comparison study, a simulation study, and a practical application study are given in order to illustrate our procedures and to demonstrate the performance, advantages, and merits of the Bayesian procedures over the classical and generalized variable procedures.
引用
收藏
页码:2780 / 2800
页数:21
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