Please use this identifier to cite or link to this item: https://doi.org/10.1080/03610910701236081
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dc.titleFailure data analysis with extended Weibull distribution
dc.contributor.authorZhang, T.
dc.contributor.authorXie, M.
dc.date.accessioned2014-06-17T07:00:31Z
dc.date.available2014-06-17T07:00:31Z
dc.date.issued2007-05
dc.identifier.citationZhang, T., Xie, M. (2007-05). Failure data analysis with extended Weibull distribution. Communications in Statistics: Simulation and Computation 36 (3) : 579-592. ScholarBank@NUS Repository. https://doi.org/10.1080/03610910701236081
dc.identifier.issn03610918
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/63131
dc.description.abstractA three-parameter distribution called extended Weibull distribution is investigated in this article. This model is generated by a method of introducing an additional parameter into a family of distributions by Marshall and Olkin (1997). It has two-parameter Weibull distribution as a special case. One of the merits of this distribution is that the hazard-rate can be increasing, decreasing, or initially increasing, then decreasing and eventually increasing. The model characterization based on the Weibull Probability Plot (WPP) is studied in this article. The WPP for actual data set can be concave, convex, or likely S-shaped. A procedure is provided for parameter estimation based on WPP. In addition, the maximum likelihood estimation is also presented. An example is shown to illustrate the procedure and application.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1080/03610910701236081
dc.sourceScopus
dc.subjectExtended Weibull distribution
dc.subjectHazard-rate function
dc.subjectParameter estimation
dc.subjectWeibull distribution
dc.subjectWeibull probability plot
dc.typeArticle
dc.contributor.departmentINDUSTRIAL & SYSTEMS ENGINEERING
dc.description.doi10.1080/03610910701236081
dc.description.sourcetitleCommunications in Statistics: Simulation and Computation
dc.description.volume36
dc.description.issue3
dc.description.page579-592
dc.identifier.isiut000247091800010
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