The gamma extended Weibull family of distributions
We introduce a new family of distributions called the gamma extended Weibull family. The proposed family includes several well-known models as special cases and defines at least seventeen new special models. Structural properties of this family are studied. Additionally, the maximum likelihood metho...
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Published in | Journal of statistical theory and applications Vol. 13; no. 1; pp. 1 - 16 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Dordrecht
Springer Netherlands
01.03.2014
Springer Nature B.V Springer |
Subjects | |
Online Access | Get full text |
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Summary: | We introduce a new family of distributions called the gamma extended Weibull family. The proposed family includes several well-known models as special cases and defines at least seventeen new special models. Structural properties of this family are studied. Additionally, the maximum likelihood method for estimating the model parameters is discussed. An application to real data illustrates the usefulness of the new family. The results provide evidence that the proposed family outperforms other classes of lifetime models. |
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ISSN: | 1538-7887 2214-1766 1538-7887 |
DOI: | 10.2991/jsta.2014.13.1.1 |