A flexible Weibull extension

By Mark S. Bebbington, Chin Diew Lai, Ricardas Zitikis. Reliability Engineering & System Safety, 2007

352 citations recorded by the source corpus.

Subfields: Safety, Risk, Reliability and Quality, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/a4da99df62062ae12304aa3f0b9280fc46a8899a

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Citations in the corpus

A generalized modified Weibull distribution for lifetime modeling (2008, neutral): “…al. (1995, 1996), the additive Weibull distribution (Xie and Lai, 1995), the extended Weibull distribution presented by Xie et al. (2002), the modified Weibull (MW) distribution proposed by Lai et al. (2003) and the extended flexible Weibull distribution by Bebbington et al. (2007), among others.”
The Kumaraswamy Burr XII distribution: theory and practice (2013, methodology): “Many models were proposed in the literature to extend the Weibull distribution such as the exponentiated Weibull [10,11], additive Weibull [12], extended Weibull [13], modified Weibull [14], beta exponential [15], beta Weibull (BW) [16], extended flexible Weibull [17], generalized modified Weibull [”
The exponentiated generalized gamma distribution with application to lifetime data (2011, neutral): “10 and the generalized modified Weibull distribution introduced by Carrasco et al.”
The Kumaraswamy-Log-Logistic Distribution (2012, background): “The generalization (4) contains distributions with unimodal and bathtub shaped hazard rate functions.”
On the Marshall–Olkin extended Weibull distribution (2013, background): “For some extended forms of the Weibull distribution and applications, the reader is referred to Xie et al. (2002), Bebbington et al. (2007), the excellent book by Murthy et al. (2004), Cordeiro et al. (2010) and Silva et al. (2010).”
General results for the beta-modified Weibull distribution (2011, methodology): “However, in the last few years, new classes of distributions were proposed based on the modifications of the Weibull distribution to cope with bathtub-shaped failure rate.”
General results for the Kumaraswamy-G distribution (2012, neutral): “[6].”
The Kumaraswamy modified Weibull distribution: theory and applications (2014, methodology): “Among these models, we point out the exponentiated Weibull (EW) [5,6], additive Weibull [7], extended Weibull [8], modified Weibull (MW) [9], extended flexible Weibull [10] and beta MW [11] distributions.”
An overview of time-based and condition-based maintenance in industrial application (2012, methodology): “The Weibull distribution model has been widely used to model the failures of many materials and in numerous other applications due to its ability to model various aging classes of life distributions, including increasing, decreasing, or constant failure rates (Bebbington, Lai, & Zitikis, 2007).”
A New Kumaraswamy Generalized Family of Distributions with Properties, Applications, and Bivariate Extension (2020, neutral): “[20]), generalized power Weibull, log-logistic, half-logistic, Lomax, Burr, Kumaraswamy, generalized gamma, exponentiated-gamma, generalized Rayleigh, Pareto, generalized Pareto, Pareto-IV, Gumbel, exponentiated-Gumbel (type-II), Fréchet, Laplace, Gompertz, Gompertz-Makeham, normal, inverse Gaussian”