The McDonald Weibull model |
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Authors: | Gauss M. Cordeiro Elizabeth M. Hashimoto |
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Affiliation: | 1. Departamento de Estatística, Universidade Federal de Pernambuco, 52171-900 Recife, PE, Brazil;2. Departamento de Ciências Exatas, Universidade de S?o Paulo, 13418-900 Piracicaba, SP, Brazil |
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Abstract: | ![]() For the first time, we propose a five-parameter lifetime model called the McDonald Weibull distribution to extend the Weibull, exponentiated Weibull, beta Weibull and Kumaraswamy Weibull distributions, among several other models. We obtain explicit expressions for the ordinary moments, quantile and generating functions, mean deviations and moments of the order statistics. We use the method of maximum likelihood to fit the new distribution and determine the observed information matrix. We define the log-McDonald Weibull regression model for censored data. The potentiality of the new model is illustrated by means of two real data sets. |
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Keywords: | Kumaraswamy distribution maximum-likelihood estimation McDonald distribution mean deviation moment generating function quantile function Weibull distribution |
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