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Synopsis
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 designs, Bayesian designs, structures for model discrimination, balanced incomplete block arrangements or rotatable response surface designs. The design problems stem from statistics but are solved using special tools from linear algebra and convex analysis.
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Book Description
Optimal Design of Experiments offers a rare blend of linear algebra, convex analysis, and statistics. Since the book's initial publication in 1993, readers have used its methods to derive optimal designs on the circle, optimal mixture designs, and optimal designs in other statistical models.
About the Author
Friedrich Pukelsheim is Chair of Stochastics and Its Applications at the Institute for Mathematics, University of Augsburg, Germany. He is a member of the Institute of Mathematical Statistics, the International Statistical Institute, and Deutsche Mathematiker-Vereinigung. He serves as editor of Metrika—International Journal for Theoretical and Applied Statistics.
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Optimal Design of Experiments
Seller: Saul Field - Bookseller, Kingston, ON, Canada
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Hardcover. Condition: Near Fine. Dust Jacket Condition: Very Good. Wiley, 1993. Hardcover. Near Fine. Dust jacket very good. Slight wear to jacket. Text appears unread. Seller Inventory # 500
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Optimal Design of Experiments [Wiley Series in Probability and Mathematical Statistics]
Seller: Book House in Dinkytown, IOBA, Minneapolis, MN, U.S.A.
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Hardcover. Condition: Good. Dust Jacket Condition: No Dust Jacket. 3rd Printing. Good hardcover copy. Previous owner's name on pastedowns and front endpaper, about a dozen other pages with light markings. Binding is tight, sturdy, and square. Exterior looks quite nice. Ships same or next business day from Dinkytown in Minneapolis, Minnesota. Seller Inventory # 336515