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contributor authorP. H. Wirsching
contributor authorL. H. Jones
date accessioned2017-05-08T23:01:24Z
date available2017-05-08T23:01:24Z
date copyrightAugust, 1976
date issued1976
identifier issn1087-1357
identifier otherJMSEFK-27644#1080_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/89032
description abstractUse of the Type 1 Extreme Value Distribution of Maxima to design engineering problems is reviewed. Results of a Monte Carlo study of the statistical behavior of the distribution parameter estimators are summarized. The study compares behavior of the method of moment and maximum likelihood estimators, and the results suggest that the method of moment estimators, a simpler algorithm, is but slightly less efficient than the maximum likelihood estimators. An example is given to illustrate how a design engineer uses these results to translate observations into an estimate of “reliability” or “risk”. Moreover, a scheme for obtaining approximate confidence intervals on reliability is presented.
publisherThe American Society of Mechanical Engineers (ASME)
titleOn The Use of The Extreme Value Distribution in Reliability Analysis and Design
typeJournal Paper
journal volume98
journal issue3
journal titleJournal of Manufacturing Science and Engineering
identifier doi10.1115/1.3439011
journal fristpage1080
journal lastpage1085
identifier eissn1528-8935
keywordsEvent history analysis
keywordsDesign
keywordsReliability
keywordsEngineers
keywordsAlgorithms AND Design engineering
treeJournal of Manufacturing Science and Engineering:;1976:;volume( 098 ):;issue: 003
contenttypeFulltext


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