— Applied Multivariate Modeling in Agricultural & Environmental Sciences

Prerequisites & course information

Course Description: Multivariate linear and nonlinear models. Model selection and parameter estimation. Analysis of manipulative and observational agroecological experiments. Discriminant, principal component, and path analyses. Logistic and biased regression. Bootstrapping. Exercises based on actual research by UC Davis students. Learning Activities: Lecture 3 hour(s), Discussion 1 hour(s). Credit Limitation(s): Not open for credit to students who have complete AGR 206. (Former AGR 206.) Grade Mode: Letter. Learning Activities: Lecture 3 hour(s), Discussion 1 hour(s). Credit Limitation(s): Not open for credit to students who have complete AGR 206. (Former AGR 206.) Grade Mode: Letter.