You are in:Home/Publications/The beta Weibull-G family of distributions: theory, characterizations and applications

Dr. Ahmed Z. Afify :: Publications:

Title:
The beta Weibull-G family of distributions: theory, characterizations and applications
Authors: Haitham M. Yousof;Mahdi Rasekhi;Ahmed Z. Afify;Indranil Ghosh;Morad Alizadeh;G.G. Hamedani
Year: 2017
Keywords: Beta-G Family;Generating Function;Maximum Likelihood Estimation;Moments;Order Statistics;Weibull-G Family
Journal: Pakistan journal of statistics
Volume: 33
Issue: 2
Pages: 95-116
Publisher: ISOSS-Islamic Countries Society of Statistical Sciences
Local/International: International
Paper Link:
Full paper Ahmed Zakarya Mohammad Afify_2017_BW-G_PJS_ 33(2)_ 95-116.pdf
Supplementary materials Not Available
Abstract:

We propose and study a new class of continuous distributions called the beta WeibullG family which extends the Weibull-G family introduced by Bourguignon et al. (2014). Some of its mathematical properties including explicit expressions for the ordinary and incomplete moments, generating function, order statistics and probability weighted moments are derived. The maximum likelihood is used for estimating the model parameters. The importance and flexibility of the new family are illustrated by means of two applications to real data sets.

Google ScholarAcdemia.eduResearch GateLinkedinFacebookTwitterGoogle PlusYoutubeWordpressInstagramMendeleyZoteroEvernoteORCIDScopus