Projects
Flexible models for analysis of count data
It aims to explore the construction of the models to deal with dispersed count data.
He received his bachelor degree in Statistics from University Federal of Paraná (UFPR). Currently, he is a master’s candidate in Statistics and Agricultural Experimentation at University of São Paulo (PPGEEA-ESALQ/USP) and member of the Laboratory of Statistics and Geoinformation (LEG/UFPR). His main research lies on flexible regression models for count data and extensions. Eduardo is an active user of the R, Emacs, Git, and Linux and he encourages the use of free software.
Master in Statistics and Agricultural Experimentation, 2019
University of São Paulo
Bachelor in Statistics, 2016
University Federal of Paraná
It aims to explore the construction of the models to deal with dispersed count data.
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