The Kumaraswamy Marshal-Olkin family of distributions
Authors:
- Morad AlizadehMorad Alizadeh
- M.H. TahirMTM.H. Tahir
- Gauss M. CordeiroGCGauss M. Cordeiro
- M. MansoorMMM. Mansoor
- M. ZubairMZM. Zubair
- G.G. HamedaniGHG.G. Hamedani
Open Access
- 1 October 2015
- journal article
- Published by Egyptian Knowledge Bank in Journal of the Egyptian Mathematical Society
- Vol. 23 (3) , 546-557
Abstract
We introduce a new family of continuous distributions called the Kumaraswamy Marshal-Olkin generalized family of distributions. We study some mathematical properties of this family. Its density function is symmetrical, left-skewed, right-skewed and reversed-J shaped, and has constant, increasing, decreasing, upside-down bathtub, bathtub and S-shaped hazard rate. We present some special models and investigate the asymptotics and shapes of the family. We derive a power series for the quantile function and obtain explicit expressions for the moments, generating function, mean deviations, two types of entropies and order statistics. Some useful characterizations of the family are also proposed. The method of maximum likelihood is used to estimate the model parameters. We illustrate the importance of the family by means of two applications to real data setsKeywords
This publication has 30 references indexed in Scilit:
- Generalized beta-generated distributionsComputational Statistics & Data Analysis, 2012
- A new family of generalized distributionsJournal of Statistical Computation and Simulation, 2011
- Some Results for Beta Fréchet DistributionCommunications in Statistics - Theory and Methods, 2011
- On families of beta- and generalized gamma-generated distributions and associated inferenceStatistical Methodology, 2009
- Proportional reversed hazard rate model and its applicationsJournal of Statistical Planning and Inference, 2007
- The Exponentiated Type DistributionsActa Applicandae Mathematicae, 2006
- BETA-NORMAL DISTRIBUTION AND ITS APPLICATIONSCommunications in Statistics - Theory and Methods, 2002
- A generalization of the compound rayleigh distribution: using a bayesian method on cancer survival timesCommunications in Statistics - Theory and Methods, 2000
- A new method for adding a parameter to a family of distributions with application to the exponential and Weibull familiesBiometrika, 1997
- Exponentiated Weibull family for analyzing bathtub failure-rate dataIEEE Transactions on Reliability, 1993