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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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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.Synopsis:
This volume provides a complete treatment of the optimality theory of experimental designs in linear models, covering a large range of design problems that originate in statistics. The author discusses the formulation of the design problem and applies results to real situations.
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Book Description Wiley-Interscience, 1993. Hard cover. Condition: Good. No jacket. Ex library with typical labeling on spine, edges of text block. Clean and unmarked inside. Covers lightly rubbed. Seller Inventory # 1127114
Book Description Wiley-Interscience, 1993. Condition: Good. A+ Customer service! Satisfaction Guaranteed! Book is in Used-Good condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain limited notes and highlighting. Seller Inventory # 047161971X-2-4
Book Description Wiley-Interscience, 1993. Hardcover. Condition: VERY GOOD. Pages are intact and are not marred by notes or highlighting, but may contain a neat previous owner name. The spine remains undamaged. Supplemental materials are not guaranteed with any used book purchases. Seller Inventory # 047161971X_abe_vg