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Distribution EstimationCovers the estimation of distributions using various methods such as minimum loss and expectation.
Nested Model SelectionExplores nested model selection in linear models, comparing models through sums of squares and ANOVA, with practical examples.
Linear Regression: SimpleIntroduces simple linear regression, properties of residuals, variance decomposition, and the coefficient of determination in the context of Okun's law.
DOE Qualitative factors IIIExplores qualitative factors in Design of Experiments, including Latin squares, factorial designs, and ANOVA tables.