WARRANTY ANALYSIS: ESTIMATION OF THE DEGREE OF IMPERFECT REPAIR VIA A BAYESIAN APPROACH

S. Chukova, Y. Hayakawa and R. Arnold
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S. Chukova: School of Mathematics, Statistics and Computer Science, Victoria University of Wellington, PO Box 600, Wellington, New Zealand
Y. Hayakawa: School of International Liberal Studies, Waseda University, 1–21–1 Nishi- Waseda, Shinjuku-ku, Tokyo 169-0051, Japan
R. Arnold: School of Mathematics, Statistics and Computer Science, Victoria University of Wellington, PO Box 600, Wellington, New Zealand

Chapter 1 in Recent Advances in Stochastic Operations Research, 2007, pp 3-21 from World Scientific Publishing Co. Pte. Ltd.

Abstract: AbstractAn approach to modeling imperfect repairs under warranty settings is presented in Chukova, Arnold and Wang12. They model the imperfect repairs using the concepts of delayed and accelerated distribution functions. As an extension of their approach, we design a procedure for estimating the degree of repair as well as other modeling parameters by Markov chain Monte Carlo (McMC) methods.

Keywords: Operations Research; Uncertainty; Applied Probability; Stochastic Process; Optimization; Decision Science (search for similar items in EconPapers)
Date: 2007
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