Goodness-of-Fit Test and Parameter Estimation for a Proportional Odds Model of Random Censorship

DOI10.1080/03610918.2011.601833zbMath1270.62076OpenAlexW2057841796MaRDI QIDQ3168357

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Publication date: 30 October 2012

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2011.601833

zbMATH Keywords

proportional odds modelinterval estimationpoint estimationexponential modelgeneralized likelihood ratioKolmogorov-Smirnov statisticsright randomly censored data

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Nonparametric estimation (62G05) Censored data models (62N01) Monte Carlo methods (65C05) Estimation in survival analysis and censored data (62N02)

Cites Work

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• Estimating reliability in proportional odds ratio models
• Statistical decision theory and Bayesian analysis. 2nd ed
• Life distributions. Structure of nonparametric, semiparametric, and parametric families.
• Testing the proportional odds model under random censoring
• Bayes Estimation Based on Random Censored Data for Some Life Time Models Under Symmetric and Asymmetric Loss Functions
• A new method for adding a parameter to a family of distributions with application to the exponential and Weibull families
• Marginal likelihood estimation for proportional odds models with right censored data
• On the proportional odds model in survival analysis

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