Please use this identifier to cite or link to this item: https://doi.org/10.1109/TR.2002.1011523
DC FieldValue
dc.titleA least-squares approach to analyzing life-stress relationship in step-stress accelerated life tests
dc.contributor.authorTeng, S.-L.
dc.contributor.authorYeo, K.-P.
dc.date.accessioned2014-10-28T05:16:35Z
dc.date.available2014-10-28T05:16:35Z
dc.date.issued2002-06
dc.identifier.citationTeng, S.-L., Yeo, K.-P. (2002-06). A least-squares approach to analyzing life-stress relationship in step-stress accelerated life tests. IEEE Transactions on Reliability 51 (2) : 177-182. ScholarBank@NUS Repository. https://doi.org/10.1109/TR.2002.1011523
dc.identifier.issn00189529
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/105468
dc.description.abstractA new approach is proposed for the data analysis of failure-censored step-stress accelerated life tests with exponential failures, following an assumed log-linear life-stress relationship. This approach, transformed least squares: 1) provides closed-form parameter estimates;, 2) motivates a simple statistic for life-stress relationship verification; and 3) appreciably simplifies the derivation of optimal test plans. The proposed D-statistic has good power and compares reasonably well with likelihood-ratio test statistic. Estimates are unbiased and exact for failure-step tests of any sample size. The derived optimal test plans agree with those derived using maximum likelihood estimation.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/TR.2002.1011523
dc.sourceScopus
dc.subjectD-statistic
dc.subjectExponential distribution
dc.subjectStep-stress accelerated life test
dc.subjectTransformed least squares estimation method
dc.typeConference Paper
dc.contributor.departmentSTATISTICS & APPLIED PROBABILITY
dc.description.doi10.1109/TR.2002.1011523
dc.description.sourcetitleIEEE Transactions on Reliability
dc.description.volume51
dc.description.issue2
dc.description.page177-182
dc.description.codenIEERA
dc.identifier.isiut000176340900011
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