Nonparametric estimation of survival functions for doubly censored observations when the lifetime hazard rate is proportionally related to the censoring hazard rates

DOI10.1080/03610929308831212zbMath0794.62023OpenAlexW2044597335MaRDI QIDQ4275148

José I. Bravo, María Dolores Esteban

Publication date: 26 January 1994

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

Full work available at URL: https://doi.org/10.1080/03610929308831212

zbMATH Keywords

censoringhazard ratessurvival functionlife testinguniform strong consistencyproportional hazard modelsdoubly censored data case

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Reliability and life testing (62N05)

Related Items (2)

A semi-parametric estimation of a survival function from incomplete and doubly censored data ⋮ Lifetime estimation from doubly censored data and dirichlet process prior knowledge on the observable random vector

Cites Work

• Analysis of Doubly-Censored Survival Data, with Application to AIDS
• Weak convergence of a self-consistent estimator of the survival function with doubly censored data
• Strong consistency of a nonparametric estimator of the survival function with doubly censored data
• On the identifiability of multivariate survival distribution functions
• Nonparametric estimation of a bivariate survivorship function with doubly censored data
• Testing to determine the underlying distribution using incomplete observations when the life time determine is proportionally related to the censoring time distribution
• Bayesian survival estimation for incomplete data when the life distribution is proportionally related to the censoring time
• Estimation Of A Survival Function With Doubly Censored Data And Dirichlet Process Prior Knowledge On The Observable Variable
• Nonparametric estimation of survival functions for incomplete observations when the life time distribution is proportionally related ot the censoring time distribution
• Estimation of the survival function with increasing failure rate based on left truncated and right censored data

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