A New Regression Model for the Analysis of Overdispersed and Zero-Modified Count Data

A New Regression Model for the Analysis of Overdispersed and Zero-Modified Count Data

Count datasets are traditionally analyzed using the ordinary Poisson distribution. However, said model has its applicability limited, as it can be somewhat restrictive to handling specific data structures. In this case, the need arises for obtaining alternative models that accommodate, for example,...

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Bibliographic Details
Main Authors: Wesley Bertoli, Katiane S. Conceição, Marinho G. Andrade, Francisco Louzada
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Entropy
Subjects:
Bayesian inference
hurdle model
Monte Carlo simulation
overdispersion
Poisson–Sujatha distribution
zero-modified data
Online Access:https://www.mdpi.com/1099-4300/23/6/646

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https://www.mdpi.com/1099-4300/23/6/646

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