[PDF.21si] Optimal Design of Experiments (Classics in Applied Mathematics)
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Optimal Design of Experiments (Classics in Applied Mathematics)
Friedrich Pukelsheim
[PDF.dj44] Optimal Design of Experiments (Classics in Applied Mathematics)
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| #4599673 in Books | Society for Industrial and Applied Mathematic | 2006-03-24 | Original language:English | PDF # 1 | 8.98 x.79 x5.98l,1.16 | File type: PDF | 454 pages | ||From the Publisher|Devoted to a unified optimality theory, merging three otherwise distinct mathematical disciplines to embrace an astonishingly wide variety of design problems. Outlines typical settings, namely D-, A-, and E-optimal, polynominal regression desi
Optimal Design of Experiments offers a rare blend of linear algebra, convex analysis, and statistics. The optimal design for statistical experiments is first formulated as a concave matrix optimization problem. Using tools from convex analysis, the problem is solved generally for a wide class of optimality criteria such as D-, A-, or E-optimality. The book then offers a complementary approach that calls for the study of the symmetry properties of the design problem, expl...
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