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- W2018387926 abstract "Generalizing lifetime distributions is always precious for applied statisticians. We define and study a new continuous model called the McDonald half-logistic distribution to generalize the half-logistic distribution. The new model is quite flexible to analyze positive data. In fact, it can provide better fits than the classical generalized gamma (Stacy, 1992) and exponentiated Weibull (Mudholkar and Srivastava, 1993 Mudholkar, G.S., Srivastava, D.K. (1993). Exponentiated Weibull family for analyzing bathtub failure-ratedata. IEEE Trans. Reliab. 42:299–302.[Crossref], [Web of Science ®] , [Google Scholar]) models, all of them with the same number of parameters. Explicit expressions for the ordinary and incomplete moments, mean deviations, generating, and quantile functions and Rényi entropy are derived. The estimation of the model parameters is performed by maximum likelihood. The potentiality of the new model is illustrated by means of a real data set. The new distribution can be used as an alternative model to other well-known distributions for modeling positive real data in many areas." @default.
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- W2018387926 date "2013-12-13" @default.
- W2018387926 modified "2023-10-17" @default.
- W2018387926 title "The McDonald half-logistic distribution: Theory and practice" @default.
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- W2018387926 doi "https://doi.org/10.1080/03610926.2013.873131" @default.
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