Consistency of nonparametric maximum likelihood estimation of a distribution function based on doubly interval-censored failure time data

We study the nonparametric maximum likelihood estimation of a failure time distribution function based on doubly interval-censored data. A self-consistent equation is derived for the estimator. Furthermore, the strong consistency of the estimator is established.

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Year of publication:	2001
Authors:	Fang, Hong-Bin ; Sun, Jianguo
Published in:	Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 55.2001, 3, p. 311-318
Publisher:	Elsevier
Keywords:	Consistency Doubly interval-censored data Nonparametric maximum likelihood estimation Self-consistent estimator

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005254559