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Optimal Design of Experiments
Friedrich Pukelsheim
€ 145.50
€ 130.16
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Description for Optimal Design of Experiments
Paperback.
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, exploiting such notions as matrix majorization and the Kiefer matrix ordering. The results are illustrated with optimal designs for polynomial fit models, Bayes designs, balanced incomplete block ... Read more
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, exploiting such notions as matrix majorization and the Kiefer matrix ordering. The results are illustrated with optimal designs for polynomial fit models, Bayes designs, balanced incomplete block ... Read more
Product Details
Format
Paperback
Publication date
2006
Publisher
Society for Industrial & Applied Mathematics,U.S. United States
Number of pages
184
Condition
New
Number of Pages
184
Place of Publication
New York, United States
ISBN
9780898716047
SKU
V9780898716047
Shipping Time
Usually ships in 5 to 9 working days
Ref
99-3
About Friedrich Pukelsheim
Friedrich Pukelsheim is Chair for Stochastics and Its Applications at the Institute for Mathematics, University of Augsburg, Germany. He i member of the Institute of Mathematical Statistics, the International Statistical Institute, and Deutsche Mathematiker-Vereinigung
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