Title of article :
A new alpha power transformed family of distributions: properties and applications to the Weibull model
Author/Authors :
Elbatal ، I. - Al Imam Mohammad Ibn Saud Islamic University , Ahmad ، Zubair - Quaid-i-Azam University , Elgarhy ، M. University of Jeddah , Almarashi ، Abdullah M. - King Abdul Aziz University
Abstract :
In this article, a new technique of alpha-power transformation is used to propose a new class of lifetime distributions. Four special models of the new family are presented. Some mathematical properties of the proposed model including estimation of the unknown parameters using the method of maximum likelihood are discussed. For the illustrative purposes of the new proposal, a three-parameter special model of this class, namely, new alpha-power transformed Weibull distribution is considered in detail. The proposed distribution offers greater distributional flexibility and is able to model data with increasing, decreasing, and constant or more importantly with bathtub-shaped failure rates. Type-1 and Type-II censoring estimation are discussed. A simulation study based on complete sample of the new model is also carried out. Finally, the usefulness and efficiency of the new proposal is illustrated by analyzing two real data sets.
Keywords :
Alpha , power transformation , Weibull distribution , type , I and type , II censoring , bathtub shape , moment generating function , maximum likelihood estimation
Journal title :
Journal of Nonlinear Science and Applications
Journal title :
Journal of Nonlinear Science and Applications