Inference for the poly-Weibull model

被引：19

作者：

Davison, AC ^{[1
]}

Louzada-Neto, F

机构：

[1] Swiss Fed Inst Technol, Dept Math, CH-1015 Lausanne, Switzerland

[2] Univ Fed Sao Carlos, BR-13560 Sao Carlos, SP, Brazil

来源：

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES D-THE STATISTICIAN | 2000年 / 49卷

关键词：

Bayesian bootstrap; bi-Weibull distribution; competing risks; identifiability; Laplace approximation; likelihood; sampling-importance resampling;

D O I：

10.1111/1467-9884.00229

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：

We consider inference for the poly-Weibull model, which arises in competing risk scenarios when the risks have independent Weibull distributions and it is not known which is responsible for the failure. Real and generated data sets illustrate our approaches to inference, which in addition to standard likelihood methods include Bayesian inference by Laplace's method for analytical approximation of integrals and sampling-importance resampling.

引用

页码：189 / 196

页数：8

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