Please use this identifier to cite or link to this item: https://doi.org/10.1080/02664760902803289
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dc.titleOn MLEs of the parameters of a modified weibull distribution for progressively type-2 censored samples
dc.contributor.authorJiang, H.
dc.contributor.authorXie, M.
dc.contributor.authorTang, L.C.
dc.date.accessioned2014-06-17T07:01:28Z
dc.date.available2014-06-17T07:01:28Z
dc.date.issued2010-04
dc.identifier.citationJiang, H., Xie, M., Tang, L.C. (2010-04). On MLEs of the parameters of a modified weibull distribution for progressively type-2 censored samples. Journal of Applied Statistics 37 (4) : 617-627. ScholarBank@NUS Repository. https://doi.org/10.1080/02664760902803289
dc.identifier.issn02664763
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/63212
dc.description.abstractLifetimes of modern mechanic or electronic units usually exhibit bathtub-shaped failure rates. An appropriate probability distribution to model such data is the modified Weibull distribution proposed by Lai et al. [15]. This distribution has both the two-parameter Weibull and type-1 extreme value distribution as special cases. It is able to model lifetime data with monotonic and bathtub-shaped failure rates, and thus attracts some interest among researchers because of this property. In this paper, the procedure of obtaining the maximum likelihood estimates (MLEs) of the parameters for progressively type-2 censored and complete samples are studied. Existence and uniqueness of the MLEs are proved. © 2010 Taylor & Francis.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1080/02664760902803289
dc.sourceScopus
dc.subjectBathtub-shaped failure rate
dc.subjectHessian matrix
dc.subjectMaximum likelihood estimation
dc.subjectModifiedweibull distribution
dc.subjectUniqueness and existence
dc.typeArticle
dc.contributor.departmentINDUSTRIAL & SYSTEMS ENGINEERING
dc.description.doi10.1080/02664760902803289
dc.description.sourcetitleJournal of Applied Statistics
dc.description.volume37
dc.description.issue4
dc.description.page617-627
dc.identifier.isiut000275681100007
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