Main Article Content
Abstract
We propose 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. Results for moments are provided. To estimate the model parameters, the maximum likelihood estimators and the asymptotic distributions of the estimators are discussed. Certain characterizations of GGW distribution are presented. Finally, the usefulness of the new distribution is shown via an application.
Article Details
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following License
CC BY: This license allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use.
How to Cite
Meshkat, R., Torabi, H., & Hamedani, G. (2016). A Generalized Gamma-Weibull Distribution: Model, Properties and Applications. Pakistan Journal of Statistics and Operation Research, 12(2), 201-212. https://doi.org/10.18187/pjsor.v12i2.1130
