30 citations · 78 across the 5 of their papers we have counts for
5 papers
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…
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…