Objective Priors for Estimation of Extended Exponential Geometric Distribution

被引：3
|
作者：
Ramos, Pedro L. [1 ]
Moala, Fernando A. [2 ]
Achcar, Jorge A. [3 ]
机构：
[1] Univ Sao Paulo, Fac Med Ribeirao Preto, Sao Paulo, Brazil
[2] Univ Estadual Paulista, Fac Sci & Technol, Sao Paulo, Brazil
[3] Univ Sao Paulo, Inst Math & Comp Sci, Sao Paulo, Brazil
来源：
JOURNAL OF MODERN APPLIED STATISTICAL METHODS | 2014年 / 13卷 / 02期
关键词：
Extended exponential geometric distribution; Jeffreys; MDIP; Reference; Bayesian; noninformative; prior;
D O I：
10.22237/jmasm/1414815060
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：
A Bayesian analysis was developed with different noninformative prior distributions such as Jeffreys, Maximal Data Information, and Reference. The aim was to investigate the effects of each prior distribution on the posterior estimates of the parameters of the extended exponential geometric distribution, based on simulated data and a real application.
引用
收藏
页码：226 / 243
页数：18
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