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Covers the definition of multivariate Gaussian distribution and its properties, including moment generating function and linear combinations of variables.
Explores robust and resistant methods in linear models, emphasizing the importance of handling extreme observations and the implications of robustness in regression models.
Explores the construction and application of Hadamard matrices for efficient estimation of main effects without interactions in the Plackett-Burman Design.
