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Activity Number:
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126
- New Development in Reliability Models and Innovative Applications
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Type:
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Contributed
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Date/Time:
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Monday, July 30, 2018 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Physical and Engineering Sciences
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Abstract #328921
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Presentation
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Title:
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Exponentiated Weibull-Geometric Regression Model
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Author(s):
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Felix Famoye*
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Companies:
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Central Michigan University
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Keywords:
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Estimation; goodness-of-fit; under- and over-dispersion; zero-inflation
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Abstract:
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An exponentiated Weibull-geometric distribution is defined and studied. A count data regression model, based on the exponentiated Weibull-geometric distribution, is also defined. The regression model can be applied to fit an under-dispersed or an over-dispersed count data. The method of maximum likelihood estimation is proposed for estimating the model parameters. A numerical data set is used to illustrate the applications of the regression model.
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Authors who are presenting talks have a * after their name.
