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 language | English |
|---|---|
| Title of host publication | NAFIPS 2005 - 2005 Annual Meeting of the North American Fuzzy Information Processing Society |
| Pages | 505-509 |
| Number of pages | 5 |
| Volume | 2005 |
| DOIs | |
| State | Published - 2005 |
| Event | NAFIPS 2005 - 2005 Annual Meeting of the North American Fuzzy Information Processing Society - Detroit, MI, United States Duration: Jun 26 2005 → Jun 28 2005 |
Other
| Other | NAFIPS 2005 - 2005 Annual Meeting of the North American Fuzzy Information Processing Society |
|---|---|
| Country | United States |
| City | Detroit, MI |
| Period | 6/26/05 → 6/28/05 |
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All Science Journal Classification (ASJC) codes
- Computer Science(all)
- Media Technology
Cite this
Fuzzy estimator of the total failure time of censored data. / Cheng, Shih-Chuan.
NAFIPS 2005 - 2005 Annual Meeting of the North American Fuzzy Information Processing Society. Vol. 2005 2005. p. 505-509 1548587.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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TY - GEN
T1 - Fuzzy estimator of the total failure time of censored data
AU - Cheng, Shih-Chuan
PY - 2005
Y1 - 2005
N2 - 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.
AB - 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.
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UR - http://www.scopus.com/inward/citedby.url?scp=33744983531&partnerID=8YFLogxK
U2 - 10.1109/NAFIPS.2005.1548587
DO - 10.1109/NAFIPS.2005.1548587
M3 - Conference contribution
VL - 2005
SP - 505
EP - 509
BT - NAFIPS 2005 - 2005 Annual Meeting of the North American Fuzzy Information Processing Society
ER -