Asymptotical Analysis of Semiparametric Models in Survival Analysis and Accelerated Life Testing

DOI10.1080/02331889708802589zbMath0884.62040OpenAlexW1991864356MaRDI QIDQ4344175

Vilijandas B. Bagdonavičius, Mikhail S. Nikulin

Publication date: 16 March 1998

Published in: Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331889708802589

zbMATH Keywords

survival analysissemiparametric modelsregression parametersaccelerated life testingCox modelbaseline functions

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Linear regression; mixed models (62J05) Nonparametric estimation (62G05) Point estimation (62F10) Reliability and life testing (62N05)

Related Items (6)

Accelerated life testing when a process of production is unstable ⋮ On goodness-of-fit for the linear transformation and frailty models ⋮ On sparse estimation for semiparametric linear transformation models ⋮ On Nonparametric Estimation in Accelerated Experiments with Step-Stresses ⋮ Semiparametric estimation in the generalized additive-multiplicative model ⋮ Semiparametric Regression Estimation in Copula Models

Cites Work

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• Cox's regression model for counting processes: A large sample study
• An Extension of the Proportional-Hazards Model for Grouped Data
• Semiparametric analysis of the additive risk model
• Transfer functionals and semiparametric regression models
• Statistical models based on counting processes

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