Credit hours
In-class work per week |
Practice per week |
Credits |
Duration |
Total |
3 |
1 |
8 |
15 weeks |
120 hours |
Instructor
Clarice Garcia Borges Demetrio
Renata Alcarde Sermarini
Sônia Maria De Stefano Piedade
Objective
Teach the students how to plan experiments, analyse the data and conclude, with the aim of practical applications.
Content
Introduction to planning of experiments. Experimental Desings: Completely Randomized Design, Randomized Complete Block, Design and Latin Squares. Missing Plot Estimation. Multiple Comparisons Procedures for Comparing Treatments. Assumptions of the Mathematical Model. Data Transformation. Complete Factorial Designs. 2n and 3n Factorials. Split-plot Designs. Orthogonal Polynomial Regression. Series of Experiments.
Bibliography
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BAILEY, R. A. (2008). Design of Comparative Experiments. Cambridge, Cambridge University Press. 348p. ( ISBN-13: 9780521683579)
BARBIN, D. - Planejamento e Análise Estatística de Experimentos Agronômicos. Editora Midas, Arapongas, PR, 2003.
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PIMENTEL-GOMES, F. & GARCIA, C.H. - Estatística Aplicada a Experimentos Agronômicos e Florestais exposição com exemplos e orientações para uso de aplicativos. FEALQ, Piracicaba,SP. 2002. 309 p.
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