Count Data Regression Analysis: Concepts, Overdispersion Detection, Zero-Inflation Identification, and Applications with R

In this paper is proposed a straightforward model selection approach that indicates the most suitable count regression model based on relevant data characteristics. The proposed selection approach includes four of the most popular count regression models (i.e. Poisson, negative binomial, and respect...

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Veröffentlicht in:	Practical assessment, research & evaluation research & evaluation, 2021-06, Vol.26
Hauptverfasser:	Fávero, Luiz Paulo, Souza, Rafael de Freitas, Belfiore, Patrícia, Corrêa, Hamilton Luiz, Haddad, Michel F. C
Format:	Artikel
Sprache:	eng
Schlagworte:	Computation Foreign Countries High School Students National Competency Tests Programming Languages Regression (Statistics) Selection Statistical Analysis
Online-Zugang:	Volltext
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