Author(s):
1. R.S. Meshkat:
Department of Statistics, Yazd University, 89175-741, Yazd, Iran.
2. H. Torabi:
Department of Statistics, Yazd University, 89175-741, Yazd, Iran.
3. G.G. Hamedani:
Department of Mathematics, Statistics and Computer Science,
Marquette University, Milwaukee, USA.
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.
Page(s):
201-212
DOI:
DOI not available
Published:
Journal: Pakistan Journal of Statistics and Operation Research, Volume: 12, Issue: 2, Year: 2016
Keywords:
maximum likelihood estimation
,
Characterizations
,
Hazard function
,
Weibull distribution
,
Generalized gammaWeibull distribution
,
Gammagenerated distribution
References:
References are not available for this document.
Citations
Citations are not available for this document.