Reliability for extreme value distributions

Reliability for extreme value distributions

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Article ID: iaor2004506
Country: Netherlands
Volume: 37
Issue: 9/10
Start Page Number: 915
End Page Number: 922
Publication Date: May 2003
Journal: Mathematical and Computer Modelling
Authors:
Keywords: statistics: distributions, risk
Abstract:

In the area of stress–strength models, there has been a large amount of work as regards estimation of the reliability R = Pr (X2 < X1) when X1 and X2) are independent random variables belonging to the same univariate family of distributions. The algebraic form for R = Pr (X2 < X1>) has been worked out for the majority of the well-known distributions in the standard forms. However, there are still many other distributions (including generalizations of the well-known distributions) for which the form of R is not known. We have identified at least some 30 distributions with no known form for R. In this paper, we consider the class of extreme value distributions (including the Pareto distributions) and derive the corresponding forms for the reliability R. The calculations involve the use of special functions.

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