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    On The Use of The Extreme Value Distribution in Reliability Analysis and Design

    Source: Journal of Manufacturing Science and Engineering:;1976:;volume( 098 ):;issue: 003::page 1080
    Author:
    P. H. Wirsching
    ,
    L. H. Jones
    DOI: 10.1115/1.3439011
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Use 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.
    keyword(s): Event history analysis , Design , Reliability , Engineers , Algorithms AND Design engineering ,
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      On The Use of The Extreme Value Distribution in Reliability Analysis and Design

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    http://yetl.yabesh.ir/yetl1/handle/yetl/89032
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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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