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.
"synopsis" may belong to another edition of this title.
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.
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.
"About this title" may belong to another edition of this title.
Shipping:
US$ 8.77
From France to U.S.A.
Seller: Ammareal, Morangis, France
No jacket. Condition: Très bon. Ancien livre de bibliothèque. Légères traces d'usure sur la couverture. Sans jaquette. Couverture différente. Edition 1993. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Slight signs of wear on the cover. No dust jacket. Different cover. Edition 1993. Ammareal gives back up to 15% of this item's net price to charity organizations. Seller Inventory # E-927-381
Quantity: 1 available