Affiliation:
1. Mathematics and Statistical Sciences , Botswana International University of Science and Technology , , Boseja , Palapye , Botswana
Abstract
Abstract
The authors introduce a new generalized distribution called the Marshall-Olkin Lindley-Log-logistic (MOLLLoG) distribution and discuss its distributional properties. The properties include hazard function, quantile function, moments, conditional moments, mean and median deviations, Bonferroni and Lorenz curves, distribution of the order statistics and Rényi entropy. A Monte Carlo simulation study was used to examine the bias, relative bias and mean square error of the maximum likelihood estimators. The betterness of the new distribution compared to other distributions is illustrated by means of two real life datasets.
Reference29 articles.
1. Afify, A. Z.—Cordeiro, G. M.—Yousof, H. M.—Saboor, A.—Ortega, E. M. M.: The Marshall-Olkin additive Weibull distribution with variable shapes for the hazard rate, Hacet. J. Math. Stat. 47(2), (2018), 365–381.
2. Barlow, RE.—Towland, RH.—Freeman, T.: A Bayesian analysis of stress-rupture life of Kevlar 49/epoxy spherical pressure vessels, Proceedings of the Canadian Conference on Applied Statistics, 1984.
3. Barreto-Souza, W.—Lemonte, A. J.—Cordeiro, G. M.: General results for the Marshall and Olkin family of distributions, An. Acad. Brasil. Ciénc. 85(1) (2013), 3–21.
4. Cordeiro, G. M.—Lemonte A. J. A.: On the Marshall-Olkin extended Weibull distribution, Statist. Papers 54 (2013), 333–353.
5. Chakraborty, S.—Handique, L.: The generalized Marshall-Olkin-Kumaraswamy-G family of distributions, J. Data Sci. 15(3) (2017), 391–422.
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