Title of article :
Extended Weibull log-logistic distribution
Author/Authors :
Abouelmagd ، T. H. M. - Taibah University , Hamed ، Mohammed S. - Taibah University , Almamy ، Jehan. A. Almamy - Taibah University , Ali ، M. Masoom - Ball State University , Yousof ، Haitham M. - Benha University , Korkmaz ، Mustafa C. - Artvin Coruh University
Abstract :
A new distribution called the Weibull Generalized log logistic distribution is introduced along with a simple physical motivation. Several of its statistical properties are derived. Three applications are provided to illustrate the importance of the new distribution. The new distribution is shown to be better that other important competitive models via three applications. The method of maximum likelihood is used to estimate the unknown parameters.
Keywords :
Log , logistic distribution , Burr XII distribution , maximum likelihood , generating function , moments
Journal title :
Journal of Nonlinear Science and Applications
Journal title :
Journal of Nonlinear Science and Applications
