Document Type
Article
Publication Date
4-26-2015
Publication Title
Electronic Journal of Applied Statistical Sciences
DOI
10.1285/i20705948v8n1p122
ISSN
2070-5948
Abstract
In a recent note, Huang and Oluyede (2014) proposed a new model called the exponentiated Kumaraswamy Dagum (EKD) distribution with applications to income and lifetime data. In this note, this distribution is shown to be a very competitive model for describing censored observations in lifetime reliability problems. This work shows that in certain cases, the EKD distribution performs better than other parametric model such as the exponentiated Kumaraswamy Weibull distribution and its sub-models, which include some of the commonly used models in survival analysis and reliability analysis, such as the exponentiated Weibull, Weibull and exponential distributions.
Recommended Citation
Oluyede, Broderick O., Shujiao Huang.
2015.
"Estimation in the Exponentiated Kumaraswamy Dagum Distribution with Censored Samples."
Electronic Journal of Applied Statistical Sciences, 8 (1): 122-135.
doi: 10.1285/i20705948v8n1p122
https://digitalcommons.georgiasouthern.edu/math-sci-facpubs/381
Comments
This work is licensed under a Creative Commons Attribuzione - Non commerciale - Non opere derivate 3.0 Italia License. Article obtained from the Electronic Journal of Applied Statistical Sciences.