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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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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Librería: Saul Field - Bookseller, Kingston, ON, Canada
Hardcover. Condición: Near Fine. Estado de la sobrecubierta: Very Good. Wiley, 1993. Hardcover. Near Fine. Dust jacket very good. Slight wear to jacket. Text appears unread. Nº de ref. del artículo: 500
Cantidad disponible: 1 disponibles
Librería: Book House in Dinkytown, IOBA, Minneapolis, MN, Estados Unidos de America
Hardcover. Condición: Good. Estado de la sobrecubierta: 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. Nº de ref. del artículo: 336515
Cantidad disponible: 1 disponibles