Basu-Dhar bivariate geometric distribution in the presence of covariates and censored data: a Bayesian approach

被引：6

作者：

Achcar, J. A. ^{[1
]}

Davarzani, N. ^{[2
]}

Souza, R. M. ^{[3
]}

机构：

[1] Univ Sao Paulo, Fac Med Ribeirao Preto, Dept Social Med, Ribeirao Preto, SP, Brazil

[2] Maastricht Univ, Dept Knowledge Engn, NL-6200 MD Maastricht, Netherlands

[3] Fed Technol Univ Parana, Dept Math, Cornelio Procopio, Parana, Brazil

来源：

JOURNAL OF APPLIED STATISTICS | 2016年 / 43卷 / 09期

关键词：

Discrete bivariate lifetime data; Basu-Dhar geometric distribution; censored data; covariates; EXPONENTIAL-DISTRIBUTION; RELIABILITY; REGRESSION; EXTENSION; INFERENCE; BLOCK;

D O I：

10.1080/02664763.2015.1117589

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：

In this paper, we introduce classical and Bayesian approaches for the Basu-Dhar bivariate geometric distribution in the presence of covariates and censored data. This distribution is considered for the analysis of bivariate lifetime as an alternative to some existing bivariate lifetime distributions assuming continuous lifetimes as the Block and Basu or Marshall and Olkin bivariate distributions. Maximum likelihood and Bayesian estimators are presented. Two examples are considered to illustrate the proposed methodology: an example with simulated data and an example with medical bivariate lifetime data.

引用

页码：1636 / 1648

页数：13

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