Math 671: Statistical Methods I
This course and its sequel, Math 672, cover linear statistical models
for regression, analysis of variance, and experimental design. The
courses seek to blend theory and application. Topics in this course
include simple and multiple linear regressions, model diagnostics, model
selection and validation, generalized linear models, nonlinear
regression, and neural networks. SAS or R will be used to apply these
methods with real data.
- Seminar: Seminar for Math 671
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