This lecture covers the methodology of experimental designs, focusing on classic plans, the simplex method, and canonical analysis. It discusses the choice between linear and quadratic models, as well as the estimation of parameters and residuals. The lecture also delves into composite planes, optimization techniques, and the compromise between rotational isovariance and pseudo-orthogonality in experimental designs.
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