University of the Punjab
Pakistan Journal of Statistics and Operation Research
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.
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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.