Analysis of Fatigue Data with Runouts Based on a Model with Nonconstant Standard Deviation and a Fatigue Limit Parameter

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dc.contributor.author Pascual, Francis
dc.contributor.author Meeker, William
dc.contributor.author Meeker, William
dc.contributor.department Statistics
dc.date 2018-02-16T03:47:35.000
dc.date.accessioned 2020-07-02T06:56:07Z
dc.date.available 2020-07-02T06:56:07Z
dc.date.issued 1996-07-08
dc.description.abstract <p>The fatigue-limit model studied here contains an unknown fatigue limit parameter. Under this model, specimens tested below this fatigue-limit level of stress will never fail. The model also allows the standard deviation of fatigue life to be a function of stress. Researchers can use this model to describe the standard deviation and stress dependence in fatigue data. To illustrate its application, we use maximum likelihood methods to fit the model to fatigue data on a nickel base superalloy. Modern statistical methods based on likelihood ratio provides confidence intervals for the fatigue limit parameter. We also study the effect that test length has on estimation by analyzing simulated data sets based on this model. Through this simulation study, we gain insight on practical test lengths for future fatigue experiments.</p>
dc.description.comments <p>This preprint is published as Pascual, F.G. and Meeker, W.Q. (1997), Regression Analysis of Fatigue Data with Runouts Based on a Model with Nonconstant Standard Deviation and a Fatigue Limit Parameter. <em>Journal of Testing and Evaluation</em> 25, 292-301.</p>
dc.identifier archive/lib.dr.iastate.edu/stat_las_preprints/3/
dc.identifier.articleid 1002
dc.identifier.contextkey 6968193
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath stat_las_preprints/3
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/90321
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/stat_las_preprints/3/1995_41.pdf|||Fri Jan 14 23:18:21 UTC 2022
dc.subject.disciplines Statistics and Probability
dc.subject.keywords fatigue curves
dc.subject.keywords fatigue data
dc.subject.keywords fatigue life distribution
dc.subject.keywords fatigue limit
dc.subject.keywords maximum likelihood methods
dc.subject.keywords nonconstant standard deviation
dc.subject.keywords runouts
dc.title Analysis of Fatigue Data with Runouts Based on a Model with Nonconstant Standard Deviation and a Fatigue Limit Parameter
dc.type article
dc.type.genre article
dspace.entity.type Publication
relation.isAuthorOfPublication a1ae45d5-fca5-4709-bed9-3dd8efdba54e
relation.isOrgUnitOfPublication 264904d9-9e66-4169-8e11-034e537ddbca
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