Fuzzy estimator of the total failure time of censored data

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

The total failure time of a system consisting of several components from a k-parameter exponential family often plays an important role in the reliability theory. All components of a system with several identical components may be put in test until an r-th smallest failure time occurs and the total failure time is subsequently calculated. The total failure time from exponentially distributed censored data has been proved to be a prediction sufficient statistic by Nair and Cheng in 2001 in light of the works by Skibinsky in 1967, Torgersen in 1977, and Cheng and Mordeson in 1985. Sometimes, the test may be repeated several times in order to assess the reliability of the system. In this proposal, a fuzzy estimator for the total failure time will be discussed. This estimator provides more information in total failure time than just a point estimate, or just a single confidence estimate.

Original languageEnglish
Title of host publicationNAFIPS 2005 - 2005 Annual Meeting of the North American Fuzzy Information Processing Society
Pages505-509
Number of pages5
Volume2005
DOIs
StatePublished - 2005
EventNAFIPS 2005 - 2005 Annual Meeting of the North American Fuzzy Information Processing Society - Detroit, MI, United States
Duration: Jun 26 2005Jun 28 2005

Other

OtherNAFIPS 2005 - 2005 Annual Meeting of the North American Fuzzy Information Processing Society
CountryUnited States
CityDetroit, MI
Period6/26/056/28/05

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Media Technology

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    Cheng, S-C. (2005). Fuzzy estimator of the total failure time of censored data. In NAFIPS 2005 - 2005 Annual Meeting of the North American Fuzzy Information Processing Society (Vol. 2005, pp. 505-509). [1548587] https://doi.org/10.1109/NAFIPS.2005.1548587