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A Generalized Class of Exponentiated Modified Weibull Distribution With Applications
Volume 14, Issue 4 (2016), pp. 585–614
Shusen Pu   Broderick O. Oluyede   Yuqi Qiu     All authors (4)

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https://doi.org/10.6339/JDS.201610_14(4).0002
Pub. online: 8 August 2024      Type: Research Article     

Published
8 August 2024

Abstract

Abstract: In this paper, a new class of five parameter gamma-exponentiated or generalized modified Weibull (GEMW) distribution which includes exponential, Rayleigh, Weibull, modified Weibull, exponentiated Weibull, exponentiated exponential, exponentiated modified Weibull, exponentiated modified exponential, gamma-exponentiated exponential, gamma exponentiated Rayleigh, gamma-modified Weibull, gamma-modified exponential, gamma-Weibull, gamma-Rayleigh and gamma-exponential distributions as special cases is proposed and studied. Mathematical properties of this new class of distributions including moments, mean deviations, Bonferroni and Lorenz curves, distribution of order statistics and Renyi entropy are presented. Maximum likelihood estimation technique is used to estimate the model parameters and applications to real data sets presented in order to illustrate the usefulness of this new class of distributions and its sub-models.

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Keywords
Modified Weibull distribution statistical properties

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  • Online ISSN: 1683-8602
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