Inverse Gaussian Model and Its Applications in Reliability and Survival Analysis

被引：17

作者：

Lemeshko, Boris Yu. ^{[1
]}

Lemeshko, Stanislav B. ^{[1
]}

Akushkina, Kseniya A. ^{[1
]}

Nikulin, Mikhail S. ^{[2
]}

Saaidia, Noureddine ^{[2
,3
,4
]}

机构：

[1] Novosibirsk State Tech Univ, Novosibirsk, Russia

[2] IMB, Victor Segalen Univ, Bordeaux, France

[3] IMB, Victor Segalen Univ, Bordeaux, France

[4] Univ Badji Mokhtar, Annaba, Algeria

来源：

MATHEMATICAL AND STATISTICAL MODELS AND METHODS IN RELIABILITY: APPLICATIONS TO MEDICINE, FINANCE, AND QUALITY CONTROL | 2010年

基金：

俄罗斯基础研究基金会;

关键词：

Inverse Gaussian distribution; Generalized Weibull distribution; Hazard rate function; Goodness-of-fit test; Composite hypotheses; RRN statistic; Nonparametric goodness-of-fit tests; Kolmogorov test; Cramer-Mises-Smirnov test; Anderson-Darling test; Computer simulation; Power of the test; Reliability; Survival analysis; OF-FIT TESTS; CENSORED-DATA; GOODNESS; HYPOTHESES;

D O I：

10.1007/978-0-8176-4971-5_33

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

Statistical properties of the parametric family of inverse Gaussian distributions are studied. Different goodness-of-fit tests for this family are compared. Some applications of the inverse Gaussian model in survival analysis and reliability are considered.

引用

页码：433 / +

页数：3

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