Design of Experiments in Nonlinear Models

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139,09 

Asymptotic Normality, Optimality Criteria and Small-Sample Properties, Lecture Notes in Statistics 207, Lecture Notes in Statistics 212

ISBN: 1461463629
ISBN 13: 9781461463627
Autor: Pronzato, Luc/Pázman, Andrej
Verlag: Springer Verlag GmbH
Umfang: xv, 399 S., 19 s/w Illustr., 37 farbige Illustr., 399 p. 56 illus., 37 illus. in color.
Erscheinungsdatum: 10.04.2013
Auflage: 1/2013
Produktform: Kartoniert
Einband: KT

This book thoroughly explores connections between the asymptotic properties of estimators in parametric models and experimental design, focused on the estimation of a nonlinear function of the model parameters, models with heteroscedastic errors and more.

Artikelnummer: 4209495 Kategorie:

Beschreibung

Autorenporträt

Luc Pronzato is Directeur de Recherche at CNRS (French National Center for Scientific Research). From 2008 to 2011 he directed the I3S Laboratory (Informatique, Signaux et Systèmes, Sophia-Antipolis), University of Nice-Sophia-Antipolis/CNRS, where he is still working. He his the co-author of the books Identification of Parametric Models from Experimental Data (with Eric Walter, Springer, 1997) and Dynamical Search: Applications of Dynamical Systems in Search and Optimization (with Henry P. Wynn and Anatoly A. Zhigljavsky, Chapman & Hall/CRC Press, 2000). Andrej P\'azman is Professor of Probability and Statistics at the Faculty of Mathematics, Physics and Informatics, Comenius University in Bratislava, Slovakia. He has been Head of the Department of Probability and Statistics (1992-1998) and Head of the Section of Mathematics of his faculty (1999-2001), and he is an elected member of the Learned Society of the Slovak Academy of Sciences. He is the author of the books Foundations of Optimum Experimental Design (Reidel, Kluwer group, 1986) and Nonlinear Statistical Models (Kluwer, 1993).

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