Advanced Statistical Methods II

4 credits · Graduate credit

The ?general linear model? is presented with an emphasis on exploration data, contrast, and residual analysis. Topics covered include ANOVA, multiple comparisons, and randomized block. I square, factorial and repeated measure designs, random and nested effects, multiple regression, transformations, residual analysis and diagnostics. ANOVA: time series analyses; common tables; Logistic regression.