DocumentCode
1350226
Title
A Distribution-Free Upper Confidence Bound for Pr{Y < X}: An Application to Stress-strength Models
Author
Singh, N.
Author_Institution
Senior Lecturer; Department of Mathematics; Monash University; Clayton, Vic. 3168 AUSTRALIA.
Issue
2
fYear
1983
fDate
6/1/1983 12:00:00 AM
Firstpage
214
Lastpage
216
Abstract
A distribution-free upper s-confidence bound for Pr{Y < X} is obtained using s-independent samples of Y and X which are k-dimensional s-independent random vector variables each following a k-variate distribution. An application of the results to fatigue and stress-strength models is highlighted. A numerical example is discussed for illustration.
Keywords
Distributed computing; Fatigue; Manufacturing; Material properties; Mathematical model; Probability; Random variables; Reliability theory; Statistical distributions; Stress measurement; Multivariate Kolmogorov-Smirnov statistic; Multivariate distribution; Stress-strength model; Upper s-confidence bound;
fLanguage
English
Journal_Title
Reliability, IEEE Transactions on
Publisher
ieee
ISSN
0018-9529
Type
jour
DOI
10.1109/TR.1983.5221538
Filename
5221538
Link To Document