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

Tommaso Gastaldi

Statistics & Probability Letters, 1994, vol. 19, issue 1, 5-18

Abstract: 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.

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 (search for similar items in EconPapers)
Date: 1994
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Citations: View citations in EconPapers (2)

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