A frailty model for detecting number of faults in a system

Yan Wang, Paul S F Yip, Yu Hayakawa

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

A frailty model for failure data is proposed to estimate the total number of faults in a system. The Littlewood model and Jelinski-Moranda are the two particular cases of the proposed formulation. The two-stage estimating procedure, a conditional likelihood and a Horvitz-Thompson estimator, is found to be efficient. Simulation studies are given to assess the performance of the estimator. Two examples are also presented.

Original languageEnglish
Pages (from-to)1001-1013
Number of pages13
JournalStatistica Sinica
Volume12
Issue number4
Publication statusPublished - 2002 Oct
Externally publishedYes

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Keywords

  • Capture-recapture
  • Conditional likelihood
  • Fault detection
  • Jelinski-Moranda
  • Littlewood
  • Removal experiment

ASJC Scopus subject areas

  • Mathematics(all)
  • Statistics and Probability

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