Inverse Gaussian Model and Its Applications in Reliability and Survival Analysis

DOI10.1007/978-0-8176-4971-5_33zbMath1407.62151OpenAlexW2203070224MaRDI QIDQ4562228

Kseniya A. Akushkina, N. Saaidia, Mikhail S. Nikulin, Stanislav B. Lemeshko, Boris Yu. Lemeshko

Publication date: 18 December 2018

Published in: Mathematical and Statistical Models and Methods in Reliability (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-0-8176-4971-5_33

zbMATH Keywords

reliabilitysurvival analysisinverse Gaussian distributioncomputer simulationgoodness-of-fit testhazard rate functioncomposite hypothesesAnderson-Darling testKolmogorov testpower of the testgeneralized Weibull distributionCramér-Mises-Smirnov testnonparametric goodness-of-fit testsRRN statistic

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Reliability and life testing (62N05)

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Cites Work

• Goodness of fit tests in models for life history data based on cumulative hazard rates
• Chi-square goodness-of-fit test for randomly censored data
• The inverse Gaussian distribution. Statistical theory and applications
• Modified goodness-of-fit tests for the inverse Gaussian distribution
• Statistical analysis of redundant systems with ‘warm’ stand-by units
• Statistic Distribution Models for Some Nonparametric Goodness-of-Fit Tests in Testing Composite Hypotheses
• A chi-squabe statistic for goodies-of-fit tests within the exponential family
• Chi-Square Test for Continuous Distributions with Shift and Scale Parameters
• Asymptotic Statistics
• Reliability and Risk
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