Chi-Squared Type Test for the AFT-Generalized Inverse Weibull Distribution

DOI10.1080/03610926.2013.839043zbMath1297.62208OpenAlexW1985576557MaRDI QIDQ2921815

N. Seddik-Ameur, Hafida Goual

Publication date: 14 October 2014

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2013.839043

zbMATH Keywords

maximum likelihood estimationcensored dataaccelerated failure time modelNRR statistic

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Nonparametric hypothesis testing (62G10) Characterization and structure theory of statistical distributions (62E10) Testing in survival analysis and censored data (62N03) Reliability and life testing (62N05)

Related Items (2)

Validation of Burr XII inverse Rayleigh model via a modified chi-squared goodness-of-fit test ⋮ On testing the fit of accelerated failure time and proportional hazard Weibull extension models

Cites Work

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• The generalized inverse Weibull distribution
• Goodness of fit tests in models for life history data based on cumulative hazard rates
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• Chi-square goodness-of-fit test for randomly censored data
• Smooth goodness-of-fit tests for composite hypothesis in hazard based models
• Non‐parametric Tests for Censored Data
• Chi-Square Test for Continuous Distributions with Shift and Scale Parameters
• Pearson‐type goodness‐of‐fit tests for regression
• A chi-squared goodness-of-fit test for logistic regression models based on case-control data

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