Cramér-von mises statistic for testing goodness of fit under the proportional hazards model

DOI10.1080/03610929108830553zbMath0724.62019OpenAlexW2138739911MaRDI QIDQ3212113

J. K. Ghorai

Publication date: 1991

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

Full work available at URL: https://doi.org/10.1080/03610929108830553

zbMATH Keywords

Gaussian processproportional hazards modelsurvival functionBessel functiongoodness of fit testCramér-von Mises statisticrandom censorshipKaplan-Meier estimatenull hypothesisKarhunen-Loeve expansionalternative hypothesiscovariance kernelpower computation

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic distribution theory in statistics (62E20)

Related Items

A quick omnibus test for the proportional hazards model of random censorship ⋮ The Paradoxical Nature of The Proportional Hazards Model of Random Censorship ⋮ Power maps in goodness-of-fit testing ⋮ Chi-squared goodness-of-fit theory under proportional censorship

Cites Work

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• Density estimation in the simple proportional hazards model
• Maximum likelihood estimation of a survival function under the Koziol- Green proportional hazards model
• A Note on the Weak Convergence of Stochastic Processes
• Deficiency of the mle of a smooth survival function under the proportional hazard model
• Quantile estimation in the proportional hazards model of random censorship
• Estimation of mean residual life with censorded data under the proportional hazard model
• Testing to Determine the Underlying Distribution Using Randomly Censored Data
• Censored Data and the Bootstrap
• Asymptotic Theory of Certain "Goodness of Fit" Criteria Based on Stochastic Processes

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