Improved maximum likelihood estimation for component reliabilities with Miyakawa--Usher--Hodgson--Guess' estimators under censored search for the cause of failure

A technique to improve, in life-tests for multi-component systems, the accuracy of the estimation of the failure rates in presence of a certain type of incomplete data ('masked' data) is discussed. A sufficient condition for some estimators studied by Miyakawa, Usher, Hodgson and Guess to be the maximum likelihood estimators is given and it is shown that such a condition is satisfied in the framework which we consider.

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Year of publication:	1994
Authors:	Gastaldi, Tommaso
Published in:	Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 19.1994, 1, p. 5-18
Publisher:	Elsevier
Keywords:	competing risk model multi-component system r out of r system incomplete data masked data order statistics failure rate survival ML estimator censoring exponential distribution

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

Persistent link: https://www.econbiz.de/10005137777