Document Type
Article
Language
eng
Publication Date
2016
Publisher
University of the Punjab
Source Publication
Pakistan Journal of Statistics and Operation Research
Source ISSN
1816-2711
Abstract
We prepare a new method to generate family of distributions. Then, a family of univariate distributions generated by the Gamma random variable is defined. The generalized gamma-Weibull (GGW) distribution is studied as a special case of this family. Certain mathematical properties of moments are provided. To estimate the model parameters, the maximum likelihood estimators and the asymptotic distribution of the estimators are discussed. Certain characterizations of GGW distribution are presented. Finally, the usefulness of the new distribution, as well as its effectiveness in comparison with other distributions, are shown via an application of a real data set.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Meshkat, R. S.; Torabi, H.; and Hamedani, Gholamhossein G., "A Generalized Gamma-Weibull Distribution: Model, Properties and Applications" (2016). Mathematics, Statistics and Computer Science Faculty Research and Publications. 487.
https://epublications.marquette.edu/mscs_fac/487
Comments
Published version. Pakistan Journal of Statistics and Operation Research, Vol. 12, No. 2 (2016): 201-212. DOI. © 2016 University of the Punjab. Used with permission.