| Full text | |
| Author(s): |
Santana, Rogerio A.
[1]
;
Conceicao, Katiane S.
[2]
;
Diniz, Carlos A. R.
[3]
;
Andrade, Marinho G.
[2]
Total Authors: 4
|
| Affiliation: | [1] Fed Univ Jequitinhonha & Mucuri Valleys, Inst Engn Sci & Technol, Cidade Univ, Janauba - Brazil
[2] Univ Sao Paulo, Inst Math & Comp Sci, Dept Appl Math & Stat, Av Trabalhador Sao Carlense, 400 Ctr, BR-13566590 Sao Carlos, SP - Brazil
[3] Univ Fed Sao Carlos, Dept Stat, Sao Carlos, SP - Brazil
Total Affiliations: 3
|
| Document type: | Journal article |
| Source: | BIOMETRICAL JOURNAL; NOV 2021. |
| Web of Science Citations: | 0 |
| Abstract | |
In this paper, we present the Type I multivariate zero-inflated Conway-Maxwell-Poisson distribution, whose development is based on the extension of the Type I multivariate zero-inflated Poisson distribution. We developed important properties of the distribution and present a regression model. The AIC and BIC criteria are used to select the best fitted model. Two real data sets have been used to illustrate the proposed model. Moreover, we conclude by stating that the Type I multivariate zero-inflated Conway-Maxwell-Poisson distribution produces a better fitted model for multivariate count data with excess of zeros. (AU) | |
| FAPESP's process: | 19/22412-5 - Multiple modification points in discrete data models |
| Grantee: | Katiane Silva Conceição |
| Support Opportunities: | Scholarships abroad - Research |
| FAPESP's process: | 19/21766-8 - Discrete data time series models |
| Grantee: | Marinho Gomes de Andrade Filho |
| Support Opportunities: | Scholarships abroad - Research |