Warranty analysis: Estimation of the degree of imperfect repair via a bayesian approach

S. Chukova, Yu Hayakawa, R. Arnold

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationRecent Advances in Stochastic Operations Research
PublisherWorld Scientific Publishing Co.
Pages3-21
Number of pages19
ISBN (Print)9789812706683, 9812567046, 9789812567048
DOIs
Publication statusPublished - 2007 Jan 1

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ASJC Scopus subject areas

  • Business, Management and Accounting(all)
  • Economics, Econometrics and Finance(all)
  • Engineering(all)
  • Mathematics(all)

Cite this

Chukova, S., Hayakawa, Y., & Arnold, R. (2007). Warranty analysis: Estimation of the degree of imperfect repair via a bayesian approach. In Recent Advances in Stochastic Operations Research (pp. 3-21). World Scientific Publishing Co.. https://doi.org/10.1142/9789812706683_0001