Estimation of Reliability Parameters Under Incomplete Primary Information

A. Golodnikov (), P. Knopov and V. Pepelyaev

Theory and Decision, 2004, vol. 57, issue 4, 344 pages

Abstract: We consider the procedure for small-sample estimation of reliability parameters. The main shortcomings of the classical methods and the Bayesian approach are analyzed. Models that find robust Bayesian estimates are proposed. The sensitivity of the Bayesian estimates to the choice of the prior distribution functions is investigated using models that find upper and lower bounds. The proposed models reduce to optimization problems in the space of distribution functions. Copyright Springer 2004

Keywords: Reliability parameters; Bayesian procedures; Incomplete information (search for similar items in EconPapers)
Date: 2004
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Persistent link: https://EconPapers.repec.org/RePEc:kap:theord:v:57:y:2004:i:4:p:331-344

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DOI: 10.1007/s11238-005-3217-9

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