One-inflation and unobserved heterogeneity in population size estimation by Ryan T. Godwin.
Biom J
; 60(4): 859-864, 2018 07.
Article
em En
| MEDLINE
| ID: mdl-29749022
ABSTRACT
In this study, we would like to show that the one-inflated zero-truncated negative binomial (OIZTNB) regression model can be easily implemented in R via built-in functions when we use mean-parameterization feature of negative binomial distribution to build OIZTNB regression model. From the practitioners' point of view, we believe that this approach presents a computationally convenient way for implementation of the OIZTNB regression model.
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Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Biometria
Limite:
Humans
Idioma:
En
Revista:
Biom J
Ano de publicação:
2018
Tipo de documento:
Article
País de afiliação:
Turquia