DocumentCode :
1349543
Title :
Fatigue Failure Models ߝ Birnbaum-Saunders vs. Inverse Gaussian
Author :
Bhattacharyya, G.K. ; Fries, Arthur
Author_Institution :
Department of Statistics; University of Wisconsin; 1210 West Dayton Street; Madison, WI 53706 USA.
Issue :
5
fYear :
1982
Firstpage :
439
Lastpage :
441
Abstract :
The assumption of a common underlying failure process leads to both the inverse Gaussian distribution and the fatigue life distribution of Birnbaum & Saunders. The first is obtained by an exact derivation while the second involves certain approximations. Although both of these distributions fit many failure data well, the inverse Gaussian distribution enjoys a distinct advantage in regard to the availability of procedures for a sound statistical analysis and tractability of the sampling distributions.
Keywords :
Analysis of variance; Fatigue; Gaussian distribution; Information analysis; Inverse problems; Reliability engineering; Reliability theory; Statistical analysis; Stochastic processes; Zinc; Birnbaum-Saunders distribution; Exponential family; Fatigue failure model; Inverse Gaussian distribution; Wiener process;
fLanguage :
English
Journal_Title :
Reliability, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9529
Type :
jour
DOI :
10.1109/TR.1982.5221421
Filename :
5221421
Link To Document :
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