Spring quarter of even years
This course introduces students to a large class of statistical models commonly used for analyses in ecology and environmental science. These include simple linear models, such as analysis of variance (ANOVA) and regression models, along with Generalized Linear Models (GLMs) that assume non-normal error distributions (e.g., logistic and Poisson regression). Students will learn to distinguish the difference between fixed and random effects, and how to implement them in mixed-effects models such as Generalized Linear Mixed Models (GLMMs). This course also covers various aspects of assessing model performance and evaluating model diagnostics. In general, students will focus on conceptualizing analyses, implementing analyses, and making inference from the results.