Optimal design and related areas in optimization and statistics

This edited volume, dedicated to Henry P. Wynn, reflects his broad range of research interests, focusing in particular on the applications of optimal design theory in optimization and statistics. It covers algorithms for constructing optimal experimental designs, general gradient-type algorithms for...

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Auteurs principaux: Pronzato, Luc, 1959-, Zhigljavsky, Anatoly, 1953- (Auteur)
Format: Livre numérique
Jezik:Anglais
Izdano: New York, NY : Springer New York : Springer e-books [20..].
Cham : Springer Nature
Serija:Springer Optimization and Its Applications 28
Teme:
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Sporočilo: Description d'après consultation du 10 octobre 2011
Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• Optimal design and related areas in optimization and statistics, edited by Luc Pronzato, Anatoly Zhigljavsky, 2009, New York, Springer, 1 vol. (XV-224 p.), Springer optimization and its applications, 978-0-387-79935-3
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Izvleček:This edited volume, dedicated to Henry P. Wynn, reflects his broad range of research interests, focusing in particular on the applications of optimal design theory in optimization and statistics. It covers algorithms for constructing optimal experimental designs, general gradient-type algorithms for convex optimization, majorization and stochastic ordering, algebraic statistics, Bayesian networks and nonlinear regression. Written by leading specialists in the field, each chapter contains a survey of the existing literature along with substantial new material. This work will appeal to both the specialist and the non-expert in the areas covered. By attracting the attention of experts in optimization to important interconnected areas, it should help stimulate further research with a potential impact on applications
Opis knjige/članka:Description d'après consultation du 10 octobre 2011
Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Bibliografija:Bibliogr. Index
ISBN:9780387799360
ISSN:1931-6828
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Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017