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Exponentiated Weibull-Geometric Distribution and Its Application to Count Data
Volume 17, Issue 4 (2019), pp. 712–725
Felix Famoye  

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https://doi.org/10.6339/JDS.201910_17(4).0005
Pub. online: 4 August 2022      Type: Research Article      Open accessOpen Access

Published
4 August 2022

Abstract

An exponentiated Weibull-geometric distribution is defined and studied. A new count data regression model, based on the exponentiated Weibull-geometric distribution, is also defined. The regression model can be applied to fit an underdispersed or an over-dispersed count data. The exponentiated Weibull-geometric regression model is fitted to two numerical data sets. The new model provided a better fit than the fit from its competitors.

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Keywords
Estimation goodness-of-fit under-and over-dispersion zero-inflation

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Journal of data science

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