Use of Sensitivity Analysis to Assess the Effect of Model Uncertainty in Analyzing Accelerated Life Test Data

dc.contributor.author Meeker, William
dc.contributor.author Escobar, Luis
dc.contributor.author Meeker, William
dc.contributor.author Zayac, Steve
dc.contributor.department Statistics
dc.date 2019-09-21T10:18:02.000
dc.date.accessioned 2020-07-02T06:56:06Z
dc.date.available 2020-07-02T06:56:06Z
dc.date.issued 2003-01-01
dc.description.abstract <p>Accelerated life tests are used to obtain timely information on the durability and reliability of materials. Test units are subjected to higher than usual levels of “stress” and a model is used to estimate life at use conditions. Although it is desirable to use a physically-based model to justify the required extrapolation, in many practical situations, no such model is available or the physical basis for extrapolation is uncertain. In such situations, extrapolation is based on an empirical model. Sensitivity analysis tools then become important to assess the effect of model error and to allow engineers to make safe design decisions. This paper presents models, methods, and a description of software tools for performing systematic sensitivity analysis to assess potential model error. These methods are illustrated with an experiment that was conducted to determine if the fatigue life of a spring would meet a given specification.</p>
dc.description.comments <p>This preprint has been published in <em>Case Studies in Reliability and Maintenance</em>. Ed. Wallace r. Blischke and D. N. Prabhakar Murthy. Hoboken, NJ: John Wiley & Sons, 2003.</p>
dc.identifier archive/lib.dr.iastate.edu/stat_las_preprints/26/
dc.identifier.articleid 1014
dc.identifier.contextkey 6994762
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath stat_las_preprints/26
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/90317
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/stat_las_preprints/26/2001_07.pdf|||Fri Dec 29 14:54:21 UTC 2017
dc.source.bitstream archive/lib.dr.iastate.edu/stat_las_preprints/26/2003_Meeker_UseSensitivityPreprint.pdf|||Fri Jan 14 23:00:32 UTC 2022
dc.source.uri 10.1002/0471393002.ch6
dc.subject.disciplines Statistics and Probability
dc.subject.keywords Box-Cox Transformation
dc.subject.keywords Censored Data
dc.subject.keywords Empirical Models
dc.subject.keywords Extrapolation
dc.subject.keywords Fatigue
dc.subject.keywords Maximum Likelihood
dc.subject.keywords Reliability
dc.subject.keywords Weibull Distribution
dc.title Use of Sensitivity Analysis to Assess the Effect of Model Uncertainty in Analyzing Accelerated Life Test Data
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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