Nested Model SelectionExplores nested model selection in linear models, comparing models through sums of squares and ANOVA, with practical examples.
Inference and Mixed ModelsCovers point estimation, confidence intervals, and hypothesis testing for smooth functions using mixed models and spline smoothing.
