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A novel four-parameter log-logistic model: mathematical properties and applications to breaking stress, survival times and leukemia data

Author(s)
Wahid A. M. Shehata Department of Mathematics, Statistics and Insurance, Faculty of Business, Ain Shams University,,Egypt
Murtadha Mansour Abdullah University of Wasit. College of Administration and Economics,,Iraq
Mohamed K. A. Refaie Agami High Institute of Administrative Sciences,Alexandria,Egypt
Abstract
In this paper, we introduce a new continuous log-logistic extension. Several of its properties are established. A numerical analysis for skewness and kurtosis is presented. The new failure rate can be "bathtub or U shaped", "increasing", "decreasing-constant", "J shaped", "constant" and "decreasing". Many bivariate and Multivariate type distributions are derived using the Clayton Copula and the Morgenstern family. To assess of the finite sample behavior of the estimators, we performed a graphical simulation. Some useful applications are considered for supporting the new model. 
Publication Details
Page(s) 133-149
Published Journal: Pakistan Journal of Statistics and Operation Research, Volume: 18, Issue: 1, Year: 2022

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Keywords
maximum likelihood, Burr XII Distribution, Modeling, Leukemia Data, Log-Logistic Model
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