Math 775: Statistical Methods I
Math 675 and 676 cover linear statistical models for regression,
analysis of variance and experimental design. Topics in this course
include simple and multiple linear regressions, model diagnostics, model
selection and validation, generalized linear models, nonlinear
regression, neural networks. As software, SAS and R will be used to
apply these methods with real data.
- Instructor Approval Required
- Lecture: Lecture for Math 775
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