Nonparametric estimation of a bivariate survivorship function with doubly censored data
type: Item
instance of: scholarly article
title: Nonparametric estimation of a bivariate survivorship function with doubly censored data
zbMATH Open document ID: 0646.62031
DOI: 10.1016/0167-7152(87)90066-6
published in: Statistics \& Probability Letters
publication date: 1987-01-01T00:00:00Z
review text: The problem of nonparametric estimation of a bivariate survivorship function with doubly censored data is considered. A self-consistent estimator is developed by first ``reducing'' the problem to that of estimation in a singly and right censored situation. This estimator is shown to satisfy a likelihood equation, and its uniqueness is investigated. The results obtained naturally parallel those obtained by \textit{G. Campbell}, Biometrika 68, 417-422 (1981; Zbl 0462.62029), in the singly censored case.
Mathematics Subject Classification ID: 62G05
Mathematics Subject Classification ID: 62H99
zbMATH DE Number: 4054809
zbMATH Keywords: nonparametric maximum likelihood estimation
zbMATH Keywords: bivariate survivorship function
zbMATH Keywords: doubly censored data
zbMATH Keywords: self-consistent estimator
zbMATH Keywords: likelihood equation
author: Ramesh M. Korwar
MaRDI profile type: Publication
full work available at URL: 0167-7152(87)90066-6
OpenAlex ID: W1972860544
cites work: Nonparametric bivariate estimation with randomly censored data
cites work: Nonparametric Estimation from Incomplete Observations
cites work: Estimation of a bivariate distribution function from incomplete observations
cites work: Nonparametric Estimation of a Survivorship Function with Doubly Censored Data
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description: scientific article; zbMATH DE number 4054809