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

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  • Gastaldi, Tommaso

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.

Suggested Citation

  • Gastaldi, Tommaso, 1994. "Improved maximum likelihood estimation for component reliabilities with Miyakawa--Usher--Hodgson--Guess' estimators under censored search for the cause of failure," Statistics & Probability Letters, Elsevier, vol. 19(1), pages 5-18, January.
    • Handle: RePEc:eee:stapro:v:19:y:1994:i:1:p:5-18
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    Cited by:

    1. Kuo, Lynn & Yang, Tae Young, 2000. "Bayesian reliability modeling for masked system lifetime data," Statistics & Probability Letters, Elsevier, vol. 47(3), pages 229-241, April.
    2. Gupta, Shanti S. & Gastaldi, Tommaso, 1996. "Life testing for multi-component systems with incomplete information on the cause of failure: a study on some inspection strategies," Computational Statistics & Data Analysis, Elsevier, vol. 22(4), pages 373-393, August.

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