Maximum likelihood estimation of the survival function based on censored data under hazard rate assumptions

DOI10.1080/03610928108828120zbMath0496.62037OpenAlexW2027111628MaRDI QIDQ3959965

Stephen W. Mykytyn, Thomas J. Santner

Publication date: 1981

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

Full work available at URL: https://doi.org/10.1080/03610928108828120

zbMATH Keywords

proportional hazards modelsurvival functionproduct limit estimatorright censored dataincreasing hazard ratedecreasing hazard ratecovariate analysisMonte Carlo small sample comparisonsstrong consistency of maximum likelihood estimatorsU-shaped hazard rate

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Point estimation (62F10) Reliability and life testing (62N05) Nonparametric inference (62G99)

Related Items

Nonparametric testing for a monotone hazard function via normalized spacings, Nonparametric maximum likelihood computation of a \(U\)-shaped hazard function, Nonparametric density estimation from censored data, A Bayes method for a monotone hazard rate via \(S\)-paths, Estimating response time hazard functions: An exposition and extension, An appraisal of some aspects of statistical inference under inequality constraints, Maximum likelihood estimation of the survival function based on censored data under hazard rate assumptions

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