Document Type
Article
Publication Date
2013
Publication Title
Journal of Statistical Distributions and Applications
DOI
10.1186/2195-5832-1-8
ISSN
2195-5832
Abstract
A new family of distributions called exponentiated Kumaraswamy-Dagum (EKD) distribution is proposed and studied. This family includes several well known sub-models, such as Dagum (D), Burr III (BIII), Fisk or Log-logistic (F or LLog), and new sub-models, namely, Kumaraswamy-Dagum (KD), Kumaraswamy-Burr III (KBIII), Kumaraswamy-Fisk or Kumaraswamy-Log-logistic (KF or KLLog), exponentiated Kumaraswamy-Burr III (EKBIII), and exponentiated Kumaraswamy-Fisk or exponentiated Kumaraswamy-Log-logistic (EKF or EKLLog) distributions. Statistical properties including series representation of the probability density function, hazard and reverse hazard functions, moments, mean and median deviations, reliability, Bonferroni and Lorenz curves, as well as entropy measures for this class of distributions and the sub-models are presented. Maximum likelihood estimates of the model parameters are obtained. Simulation studies are conducted. Examples and applications as well as comparisons of the EKD and its sub-distributions with other distributions are given.
Recommended Citation
Huang, Shujiao, Broderick O. Oluyede.
2013.
"Exponentiated Kumaraswamy-Dagum Distribution with Applications to Income and Lifetime Data."
Journal of Statistical Distributions and Applications, 1 (8): 1-20.
doi: 10.1186/2195-5832-1-8
https://digitalcommons.georgiasouthern.edu/math-sci-facpubs/310
Comments
© 2014 Huang and Oluyede; licensee Springer. This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.
Article obtained from the Journal of Statistical Distributions and Applications.