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AuthorBaklizi, Ayman
Available date2021-07-05T10:58:31Z
Publication Date2016
Publication NameCommunications in Statistics: Simulation and Computation
ResourceScopus
URIhttp://dx.doi.org/10.1080/03610918.2014.936465
URIhttp://hdl.handle.net/10576/21091
AbstractWe consider confidence intervals for the stress-strength reliability Pr(X< Y) in the two-parameter exponential distribution. We have derived the Bayesian highest posterior density interval using non-informative prior distributions. We have compared its performance with the intervals based on the generalized pivot variable intervals in terms of their coverage probabilities and expected lengths. Our simulation study shows that the Bayesian interval performs better according to the criteria used, especially when the sample sizes are very small. An example is given. Taylor & Francis Group, LLC.
Languageen
PublisherTaylor and Francis Inc.
SubjectBayesian inference
Generalized pivot variables
Stress-strength reliability
Two-parameter exponential distribution
TitleComparison of Interval Estimators of Pr(X < Y) in the Two-parameter Exponential Distribution
TypeArticle
Pagination2937-2946
Issue Number8
Volume Number45
dc.accessType Abstract Only


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