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Type I multivariate zero-inflated COM-Poisson regression model.
Santana, Rogério A; Conceição, Katiane S; Diniz, Carlos A R; Andrade, Marinho G.
  • Santana RA; Institute of Engineering, Science and Technology, Federal University of the Jequitinhonha and Mucuri Valleys, Cidade Universitária, Janaúba, Brazil.
  • Conceição KS; Department of Applied Mathematics and Statistics, Institute of Mathematics and Computer Science, University of São Paulo, São Carlos, SP, Brazil.
  • Diniz CAR; Department of Statistics, Federal University of São Carlos, São Carlos, SP, Brazil.
  • Andrade MG; Department of Applied Mathematics and Statistics, Institute of Mathematics and Computer Science, University of São Paulo, São Carlos, SP, Brazil.
Biom J ; 64(3): 481-505, 2022 03.
Article in English | MEDLINE | ID: covidwho-1520170
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Models, Statistical Language: English Journal: Biom J Year: 2022 Document Type: Article Affiliation country: Bimj.202000249

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Models, Statistical Language: English Journal: Biom J Year: 2022 Document Type: Article Affiliation country: Bimj.202000249