JOURNAL ARTICLE

The gamma exponentiated exponential-Weibull distribution

Tibor K. PogányAbdus Saboor

Year: 2016 Journal:   Filomat Vol: 30 (12)Pages: 3159-3170   Publisher: University of Niš

Abstract

Anewfour-parameter model called the gamma-exponentiated exponential-Weibull distribution is being introduced in this paper. The new model turns out to be quite flexible for analyzing positive data. Representations of certain statistical functions associated with this distribution are obtained. Some special cases are pointed out as well. The parameters of the proposed distribution are estimated by making use of the maximum likelihood approach. This density function is utilized to model two actual data sets. The new distribution is shown to provide a better fit than related distributions as measured by the Anderson-Darling and Cram?r-von Mises goodness-of-fit statistics. The proposed distribution may serve as a viable alternative to other distributions available in the literature for modeling positive data arising in various fields of scientific investigation such as the physical and biological sciences, hydrology, medicine, meteorology and engineering.

Keywords:
Weibull distribution Mathematics Gamma distribution Anderson–Darling test Goodness of fit Exponential function Applied mathematics Exponential distribution Natural exponential family Statistics Exponentiated Weibull distribution Distribution (mathematics) Statistical physics Kolmogorov–Smirnov test Mathematical analysis Statistical hypothesis testing Physics

Metrics

11
Cited By
2.08
FWCI (Field Weighted Citation Impact)
34
Refs
0.89
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Statistical Distribution Estimation and Applications
Physical Sciences →  Mathematics →  Statistics and Probability
Probabilistic and Robust Engineering Design
Social Sciences →  Decision Sciences →  Statistics, Probability and Uncertainty
Hydrology and Drought Analysis
Physical Sciences →  Environmental Science →  Global and Planetary Change

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