 A new generalized odd log-logistic flexible Weibull regression model with applications in repairable systemsPrataviera, Fábio, Edwin M.M. Ortega, Gauss M. Cordeiro, Rodrigo R. Pescim and Bruna A.W. Verssani Reliability Engineering and System Safety, 2018, vol. 176, issue C, 13-26 Abstract: We define and study a four-parameter model called the generalized odd log-logistic flexible Weibull distribution. The new distribution can be used effectively in the context of reliability since it accommodates different hazard rate forms such as monotone, unimodal, bathtub-shaped, increasing-decreasing-increasing, among possible others. We provide an extensive study of the quantile function. Further, we present a parametric regression model based on the new distribution as an alternative to the location-scale regression model. An important property of this new regression model is that it does not need the assumption of proportional risks. We use the method of maximum likelihood for estimating the model parameters and perform various simulations for different parameter settings, sample sizes and censoring percentages. Applications in real engineering data sets illustrate the flexibility of the proposed models. Keywords: Flexible Weibull; Maximum likelihood; Odd log-logistic distribution; Reliability analysis (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:176:y:2018:i:c:p:13-26 DOI: 10.1016/j.ress.2018.03.034 Access Statistics for this article Reliability Engineering and System Safety is currently edited by Carlos Guedes Soares More articles in Reliability Engineering and System Safety from Elsevier |
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