Modified beta modified-Weibull distribution

Abdus Saboor (), Muhammad Nauman Khan (), Gauss M. Cordeiro (), Marcelino A. R. Pascoa (), Juliano Bortolini () and Shahid Mubeen ()
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Abdus Saboor: Kohat University of Science and Technology
Muhammad Nauman Khan: Kohat University of Science and Technology
Gauss M. Cordeiro: Universidade Federal de Pernambuco
Marcelino A. R. Pascoa: Universidade Federal de Mato Grosso
Juliano Bortolini: Universidade Federal de Mato Grosso
Shahid Mubeen: Sargodha University

Computational Statistics, 2019, vol. 34, issue 1, No 8, 173-199

Abstract: Abstract We introduce a flexible modified beta modified-Weibull model, which can accommodate both monotonic and non-monotonic hazard rates such as a useful long bathtub shaped hazard rate in the middle. Several distributions can be obtained as special cases of the new model. We demonstrate that the new density function is a linear combination of modified-Weibull densities. We obtain the ordinary and central moments, generating function, conditional moments and mean deviations, residual life functions, reliability measures and mean and variance (reversed) residual life. The method of maximum likelihood and a Bayesian procedure are used for estimating the model parameters. We compare the fits of the new distribution and other competitive models to two real data sets. We prove empirically that the new distribution gives the best fit among these distributions based on several goodness-of-fit statistics.

Keywords: Bayesian analysis; Modified beta distribution; Moments; Simulation study (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s00180-018-0822-y

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