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Warranty Analysis: Estimation Of The Degree Of Imperfect Repair Via A Bayesian Approach

In: Recent Advances In Stochastic Operations Research

Author

Listed:
  • 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)

Abstract

An 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.

Suggested Citation

  • S. Chukova & Y. Hayakawa & R. Arnold, 2007. "Warranty Analysis: Estimation Of The Degree Of Imperfect Repair Via A Bayesian Approach," World Scientific Book Chapters, in: Tadashi Dohi & Shunji Osaki & Katsushige Sawaki (ed.), Recent Advances In Stochastic Operations Research, chapter 1, pages 3-21, World Scientific Publishing Co. Pte. Ltd..
    • Handle: RePEc:wsi:wschap:9789812706683_0001
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    Cited by:

    1. S Chukova & Y Hayakawa & M. R. Johnston, 2007. "Optimal two-dimensional warranty repair strategy," Journal of Risk and Reliability, , vol. 221(4), pages 265-273, December.

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