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

Autor: Wesley Bertoli, Katiane S. Conceição, Marinho G. Andrade, Francisco Louzada

Publikováno v: Entropy, Vol 23, Iss 6, p 646 (2021)

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

Externí odkaz: https://doaj.org/article/dcf8f8b31ef74c2f86878ee5110e07d1

Characterizations and generalizations of the negative binomial distribution

Autor: Marinho G. Andrade, Katiane S. Conceição, Nalini Ravishanker, Francisco Louzada

Publikováno v: Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP

In this paper, we give detailed descriptions of the Zero-Modified Negative Binomial distribution for analyzing count data. In particular, we study the characterizations and properties of this distribution, whose main advantage is its flexibility whic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31f153397c876c10306b4bfc96574e12
https://doi.org/10.1007/s00180-021-01150-y

Time Series Regression Models for COVID-19 Deaths

Autor: Katiane S. Conceição, Marinho G. Andrade, Jorge Alberto Achcar, Nalini Ravishanker

Publikováno v: Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d9b35710d41985182320f7b6115aa0c
https://doi.org/10.6339/21-jds991

A Bayesian approach for some zero-modified Poisson mixture models

Autor: Marinho G. Andrade, Wesley Bertoli, Francisco Louzada, Katiane S. Conceição

Publikováno v: Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP

In this article, we propose a class of zero-modified Poisson mixture models as an alternative to model overdispersed count data exhibiting inflation or deflation of zeros. A relevant feature of this class is that the zero modification can be incorpor

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07d6f26d2779ed70141f30823f1bdbba
https://doi.org/10.1177/1471082x19841984

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

Autor: Wesley Bertoli, Francisco Louzada, Katiane S. Conceição, Marinho G. Andrade

Publikováno v: Entropy
Volume 23
Issue 6
Entropy, Vol 23, Iss 646, p 646 (2021)
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP

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

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cfa2c4343800bceafaf7f88751b96f35
https://pubmed.ncbi.nlm.nih.gov/34064281