PROPERTIES OF THE FOUR-PARAMETER WEIBULL DISTRIBUTION AND ITS APPLICATIONS
Pakistan Journal of Statistics • 2017
Publication Information
Authors
T.H.M. Abouelmagd;Saeed Al-mualim;M. Elgarhy;Ahmed Z. Afify;Munir Ahmad
Keywords
Entropy;Maximum Likelihood;Moments;Order Statistics;Weibull Distribution;Weibull-G Family
Journal
Pakistan Journal of Statistics
Publisher
ISOSS-Islamic Countries Society of Statistical Sciences
Volume
33
Issue
6
Pages
449-466
publication.type
International
Paper Link
Open Link
Supplementary Materials
Not Available
Abstract
In this article, we study the so-called the Weibull Weibull distribution. General
explicit expressions for the quantile function, expansion of its density function, ordinary
and incomplete moments, moments of the residual and reversed residual lifes, order
statistics and Rényi and q–entropies are derived. The model parameters are estimated
using the maximum likelihood method. Simulation results are provided to assess the
accuracy and performance of the maximum likelihood estimators. The usefulness and
flexibility of the Weibull Weibull model are illustrated using real data sets.
explicit expressions for the quantile function, expansion of its density function, ordinary
and incomplete moments, moments of the residual and reversed residual lifes, order
statistics and Rényi and q–entropies are derived. The model parameters are estimated
using the maximum likelihood method. Simulation results are provided to assess the
accuracy and performance of the maximum likelihood estimators. The usefulness and
flexibility of the Weibull Weibull model are illustrated using real data sets.
Staff Members - Benha University