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• W2463503483 abstract "In this paper, a new generalized distribution called the log-logisticWeibull (LLoGW) distribution is developed and presented. This dis-tribution contain the log-logistic Rayleigh (LLoGR), log-logistic expo-nential (LLoGE) and log-logistic (LLoG) distributions as special cases.The structural properties of the distribution including the hazard func-tion, reverse hazard function, quantile function, probability weightedmoments, moments, conditional moments, mean deviations, Bonferroniand Lorenz curves, distribution of order statistics, L-moments and Renyientropy are derived. Method of maximum likelihood is used to estimatethe parameters of this new distribution. A simulation study to examinethe bias, mean square error of the maximum likelihood estimators andwidth of the condence intervals for each parameter is presented. Finally, real data examples are presented to illustrate the usefulness and applicability of the model." @default.
• W2463503483 created "2016-07-22" @default.
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• W2463503483 date "2016-06-27" @default.
• W2463503483 modified "2023-10-16" @default.
• W2463503483 title "The Log-logistic Weibull Distribution with Applications to Lifetime Data" @default.
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• W2463503483 doi "https://doi.org/10.17713/ajs.v45i3.107" @default.
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