Teacher
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LAGONA FRANCESCO
(syllabus)
Software R-studio and R: installation and main features. Project creation in R studio. First step with R: elementary operations, descriptive statistics, graphs. Statistical inference refresher. Sampling distribution, confidence intervals and tests. Environmental data. Maximum likelihood estimation. Linear models: parameter estimation, model selection and goodness of fit. Generalized linear models: parameter estimation, model selection and goodness of fit. Logistic regression. Poisson regression.
(reference books)
Carsten Dormann (2020) Environmental Data Analysis: An introduction with Examples in R, Springer
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