Document Type
Article
Publication Date
6-1-2022
Publication Title
Mathematics
Volume
10
Issue
11
First page number:
1
Last page number:
18
Abstract
In this paper, we propose a new family of distributions, by exponentiating the random variables associated with the probability density functions of composite distributions. We also derive some mathematical properties of this new family of distributions, including the moments and the limited moments. Specifically, two special models in this family are discussed. Three real datasets were chosen, to assess the performance of these two special exponentiated-composite models. When fitting to these three datasets, these three special exponentiated-composite distributions demonstrate significantly better performance, compared to the original composite distributions.
Keywords
Composite models; Goodness-of-fit; IG distribution; Weibull distribution; Pareto distribution; Exponential distributions; Exponentiated models
Disciplines
Mathematics
File Format
File Size
1181 KB
Language
English
Rights
IN COPYRIGHT. For more information about this rights statement, please visit http://rightsstatements.org/vocab/InC/1.0/
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Repository Citation
Liu, B.,
Ananda, M.
(2022).
A Generalized Family of Exponentiated Composite Distributions.
Mathematics, 10(11),
1-18.
http://dx.doi.org/10.3390/math10111895