Title of article :
A new extension of exponential distribution with statistical properties and applications
Author/Authors :
Almarashi ، Abdullah M. - King AbdulAziz University , Elgarhy ، M. University of Jeddah , Elsehetry ، Mamhoud M. - Cairo University , Kibria ، B. M.Golam - Florida International University , Algarni ، Ali - King AbdulAziz University
Abstract :
A new extension of exponential distribution, named as the Type I half logistic exponential distribution is introduced in this paper. Explicit expressions for the moments, probability weighted, quantile function, mean deviation, order statistics, and Renyi entropy are investigated. Parameter estimates of the new distribution are obtained based on maximum likelihood procedure. Two real data sets are employed to show the usefulness of the new distribution.
Keywords :
Exponential distribution , maximum likelihood method , moments , order statistics , type I half logistic , G distributions
Journal title :
Journal of Nonlinear Science and Applications
Journal title :
Journal of Nonlinear Science and Applications
