9781461463627 - design of experiments in nonlinear models: asymptotic normality, optimality criteria and small-sample properties: 212 di pronzato, luc; pázman, andrej (15 risultati)
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paperback. Condizione: Sehr gut. 416 Seiten; 9781461463627.2 Gewicht in Gramm: 1.
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Design of Experiments in Nonlinear Models: Asymptotic Normality, Optimality Criteria and Small-Sample Properties provides a comprehensive coverage of the various aspects of experimental design for nonlinear models. The book contains original contr…ibutions to the theory of optimal experiments that will interest students and researchers in the field. Practitionners motivated by applications will find valuable tools to help them designing their experiments. The first three chapters expose the connections between the asymptotic properties of estimators in parametric models and experimental design, with more emphasis than usual on some particular aspects like the estimation of a nonlinear function of the model parameters, models with heteroscedastic errors, etc. Classical optimality criteria based on those asymptotic properties are then presented thoroughly in a special chapter. Three chapters are dedicated to specific issues raised by nonlinear models. The construction of design criteria derived from non-asymptotic considerations (small-sample situation) is detailed. The connection between design and identifiability/estimability issues is investigated. Several approaches are presented to face the problem caused by the dependence of an optimal design on the value of the parameters to be estimated. A survey of algorithmic methods for the construction of optimal designs is provided.
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Taschenbuch. Condizione: Neu. Design of Experiments in Nonlinear Models | Asymptotic Normality, Optimality Criteria and Small-Sample Properties | Luc Pronzato (u. a.) | Taschenbuch | Lecture Notes in Statistics | xv | Englisch | 2013 | Springer | EAN 9781461463627 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tierga…rtenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Paperback. Condizione: Brand New. 2013 edition. 414 pages. 9.45x6.06x0.94 inches. In Stock.
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Condizione: gut. 2013. Design of Experiments in Nonlinear Models: Asymptotic Normality, Optimality Criteria and Small-Sample Properties (Lecture Notes in Statistics, Band 212) In englischer Sprache. pages.
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Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Softcover. Condizione: Very Good. No Jacket. First edition. 1st 2013. Very good condition. Lecture Notes in Statistics 212. A comprehensive coverage of the various aspects of experimental design for nonlinear models. Cardwraps. Ex-lib with minimal stamps. Covers lightly scuffed and creased. A few biro tick marks to references. P…ackaged with care and promptly dispatched.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Design of Experiments in Nonlinear Models: Asymptotic Normality, Optimality Criteria and Small-Sample Properties provides a comprehensive coverage of the various aspects of experimental design for nonlinear models. The book contain…s original contributions to the theory of optimal experiments that will interest students and researchers in the field. Practitionners motivated by applications will find valuable tools to help them designing their experiments. The first three chapters expose the connections between the asymptotic properties of estimators in parametric models and experimental design, with more emphasis than usual on some particular aspects like the estimation of a nonlinear function of the model parameters, models with heteroscedastic errors, etc. Classical optimality criteria based on those asymptotic properties are then presented thoroughly in a special chapter. Three chapters are dedicated to specific issues raised by nonlinear models. The construction of design criteria derived from non-asymptotic considerations (small-sample situation) is detailed. The connection between design and identifiability/estimability issues is investigated. Several approaches are presented to face the problem caused by the dependence of an optimal design on the value of the parameters to be estimated. A survey of algorithmic methods for the construction of optimal designs is provided. 416 pp. Englisch.
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Covers many important aspects of experimental design, especially as it relates to unpredictable models and data sets Special section on small samples sizes and missing/truncated and imputed data Provides information…on small sample size, as.
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Condizione: New. Print on Demand pp. 416 93 Illus. (37 Col.).
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Design of Experiments in Nonlinear Models: Asymptotic Normality, Optimality Criteria and Small-Sample Properties provides a comprehensivecoverage of the various aspects of experimental design for nonlinear models. The book contains ori…ginal contributions to the theory of optimal experiments that will interest students and researchers in the field. Practitionners motivated by applications will find valuable tools to help them designing their experiments.The first three chapters expose theconnections between the asymptotic properties of estimators in parametric models and experimental design, with more emphasis than usual on some particular aspects like the estimation of a nonlinear function of the model parameters,models with heteroscedastic errors, etc. Classical optimality criteriabased on those asymptotic properties are then presented thoroughly in a special chapter.Three chapters are dedicated to specificissues raised by nonlinear models. The construction of designcriteria derived from non-asymptotic considerations (small-sample situation) is detailed. The connection between design and identifiability/estimability issues is investigated. Several approaches are presented to face the problem caused by the dependence of an optimal design on the value of the parameters to be estimated.A survey of algorithmic methods for the construction of optimal designs is provided.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 416 pp. Englisch.
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Condizione: New. PRINT ON DEMAND pp. 416.
