Chi-Squared Goodness-of-Fit Tests for Parametric Accelerated Failure Time Models

被引：34

作者：

Bagdonavicius, Vilijandas B. ^{[1
]}

Levuliene, Ruta J. ^{[1
]}

Nikulin, Mikhail S. ^{[2
]}

机构：

[1] Univ Vilnius, Dept Math Stat, Vilnius, Lithuania

[2] Univ Bordeaux 2, UFR Siences & Modelizat, F-33076 Bordeaux, France

来源：

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 2013年 / 42卷 / 15期

关键词：

Accelerated failure time model; Censoring; Chi-squared test; Exponential distribution; Goodness-of-fit; Loglogistic distribution; Lognormal distribution; Parametric model; Random cells; Regression models; Scale and shape family; Weibull distribution; HAZARD;

D O I：

10.1080/03610926.2011.617483

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 give chi-squared goodness-of fit tests for parametric regression models such as accelerated failure time, proportional hazards, generalized proportional hazards, frailty models, transformation models, and models with cross-effects of survival functions. Random right censored data are used. Choice of random grouping intervals as data functions is considered.

引用

页码：2768 / 2785

页数：18

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