Curso em Planejamento e Análise de Experimentos com RDas abordagens tradicionais às soluções artesanais |
Atenção: ementa sujeita a alteração conforme andamento do Curso.
# Principais pacotes.
pkg <- c("tidyverse", "multcomp", "doBy", "emmeans", "car", "lme4",
"rmarkdown", "agricolae", "ScottKnott", "devtools")
install.packages(pkg, dependencies = TRUE)
# Pacote com conjuntos de dados.
devtools::install_github(repo = "pet-estatistica/labestData")
DEAN, A.; VOSS, D.; DRAGULJIĆ, D. Design and analysis of experiments. Springer International Publishing, 2017.
DEMIDENKO, E. Mixed models: Theory and applications with R. Wiley, 2013.
DOBSON, A.; BARNETT, A. An introduction to generalized linear models. CRC Press, 2018.
DUNN, P.; SMYTH, G. Generalized linear models with examples in R. Springer New York, 2018.
FARAWAY, J. Extending the linear model with R: Generalized linear, mixed effects and nonparametric regression models. CRC Press, 2016.
GAŁECKI, A.; BURZYKOWSKI, T. Linear mixed-effects models using R: A step-by-step approach. Springer New York, 2013.
LAWSON, J. Design and analysis of experiments with R. Taylor & Francis, 2014.
MASON, R.; GUNST, R.; HESS, J. Statistical design and analysis of experiments: With applications to engineering and science. Wiley, 2003.
MEAD, R.; CURNOW, R.; HASTED, A. Statistical methods in agriculture and experimental biology. 3rd ed. Taylor & Francis, 2002.
MEAD, R.; GILMOUR, S.; MEAD, A. Statistical principles for the design of experiments: Applications to real experiments. Cambridge University Press, 2012.
MYERS, R.; MONTGOMERY, D.; ANDERSON-COOK, C. Response surface methodology: Process and product optimization using designed experiments. Wiley, 2009.
PINHEIRO, J.; BATES, D. Mixed-effects models in S and S-plus. Springer, 2009.
RAWLINGS, J.; PANTULA, S.; DICKEY, D. Applied regression analysis: A research tool. Springer New York, 2001.
RITZ, C.; STREIBIG, J. Nonlinear regression with R. Springer New York, 2008.
SEBER, G.; WILD, C. Nonlinear regression. Wiley, 2003.
WEISBERG, S. Applied linear regression. Wiley, 2013.
YANDELL, B. Practical data analysis for designed experiments. CRC Press, 2017.
Curso em Planejamento e Análise de Experimentos com R leg.ufpr.br/~walmes/ensino/cpaer |
Prof. Walmes M. Zeviani Departamento de Estatística · UFPR |