81 citations · 161 across the 10 of their papers we have counts for
11 papers
Multivariate Generalized Linear Mixed Models for Count Data
Guilherme P. Silva, Henrique A. Laureano, Ricardo R. Petterle +2
Univariate regression models have rich literature for counting data. However, this is not the case for multivariate count data. Therefore, we present the Multivariate Generalized L…
Hypothesis tests for multiple responses regression models in R: The htmcglm Package
Lineu Alberto Cavazani de Freitas, Wagner Hugo Bonat
This article describes the R package htmcglm implemented for performing hypothesis tests on regression and dispersion parameters of multivariate covariance generalized linear model…
Hypothesis tests for multiple responses regression: effect of probiotics on addiction and binge eating disorder
Lineu Alberto Cavazani de Freitas, Ligia de Oliveira Carlos, Antônio Carlos Ligocki Campos +1
Clinical trials are common in medical research where multiple non-Gaussian responses and time-dependent observations are frequent. The analysis of data from these studies requires…
Multivariate generalized linear mixed models for underdispersed count data
Guilherme Parreira da Silva, Henrique Aparecido Laureano, Ricardo Rasmussen Petterle +2
Researchers are often interested in understanding the relationship between a set of covariates and a set of response variables. To achieve this goal, the use of regression analysis…
Reparametrization of COM-Poisson Regression Models with Applications in the Analysis of Experimental Data
Eduardo E. Ribeiro, Walmes M. Zeviani, Wagner H. Bonat +2
In the analysis of count data often the equidispersion assumption is not suitable, hence the Poisson regression model is inappropriate. As a generalization of the Poisson distribut…
Flexible Tweedie regression models for continuous data
Wagner H. Bonat, Célestin C. Kokonendji
Tweedie regression models provide a flexible family of distributions to deal with non-negative highly right-skewed data as well as symmetric and heavy tailed data and can handle co…
Extended Poisson-Tweedie: properties and regression models for count data
Wagner H. Bonat, Bent Jørgensen, Célestin C. Kokonendji +2
We propose a new class of discrete generalized linear models based on the class of Poisson-Tweedie factorial dispersion models with variance of the form , where is the…
Likelihood analysis for a class of spatial geostatistical compositional models
Ana Beatriz Tozo Martins, Wagner Hugo Bonat, Paulo Justiniano Ribeiro Junior
We propose a model-based geostatistical approach to deal with regionalized compositions. We combine the additive-log-ratio transformation with multivariate geostatistical models wh…
Bayesian analysis for a class of beta mixed models
Wagner Hugo Bonat, Paulo Justiniano Ribeiro, Silvia emiko Shimakura
Generalized linear mixed models (GLMM) encompass large class of statistical models, with a vast range of applications areas. GLMM extends the linear mixed models allowing for diffe…
Likelihood analysis for a class of beta mixed models
Wagner H. Bonat, Paulo J. Ribeiro, Walmes Marque Zeviani
Beta regression models are a suitable choice for continuous response variables on the unity interval. Random effects add further flexibility to the models and accommodate data stru…
The Gamma-count distribution in the analysis of experimental underdispersed data
Walmes Marques Zeviani, Paulo Justiniano Ribeiro, Wagner Hugo Bonat +2
Event counts are response variables with non-negative integer values representing the number of times that an event occurs within a fixed domain such as a time interval, a geograph…