| Abstract |
This course on Ecological data analysis in particular ANOVA test presents the following topics: 1. Review of basic concepts in biostatistics (hypothesis testing for one or two populations; analysis of variance and experimental design; simple linear regression and correlation); 2. Multiple linear regression (exploitation of data; assessment of collinearity between explanatory variables; interaction between explanatory variables; interpretation of results); 3. Generalized Linear Models (GLM-Poisson and GLM-Logistic); 4. Multivariate Analysis (basic principles of multivariate analysis; evaluation of the underlying structure of the data: PCA, CA, NMDS,
PCoA; assessment of differences between groups of data / treatments: ANOSIM, CDA; evaluation of the relationship between response variables and explanatory / environmental: RDA, CCA, dbRDA; evaluation of treatment effects over time: Curves
Main Response - PRC; assessment of the relevance of different groups of variables; explanations: variability partitioning. |
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