Abstract
Model(s): Fixed coefficients regression (FCR), random coefficients regression (RCR) models (single factor linear, quadratic and cubic) Experimental domains: [0, 1], [0, h] and (h, H] Optimality criteria: Minimization of optimality functionals Major tools: de la Garza (DLG) phenomenon and Loewner order domination (LOD) of information matrices for search reduction Optimality results: Specific optimal designs under regression models for estimation, prediction and inverse prediction — all under continuous design theory Thrust: Asymmetric experimental domains
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