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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,...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Wesley Bertoli, Katiane S. Conceição, Marinho G. Andrade, Francisco Louzada
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2021-05-01
Schriftenreihe:Entropy
Schlagworte:
Bayesian inference
hurdle model
Monte Carlo simulation
overdispersion
Poisson–Sujatha distribution
zero-modified data
Online-Zugang:https://www.mdpi.com/1099-4300/23/6/646
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