- 5 resultaten
laagste prijs: € 70,03, hoogste prijs: € 181,33, gemiddelde prijs: € 123,74
1
Design of Experiments in Nonlinear Models : Asymptotic Normality, Optimality Criteria and Small-Sample Properties - Andrej Pázman
bestellen
bij ZVAB.com
€ 119,87
verzending: € 0,001
bestellen
Details aangeboden
Gesponsorde link
Andrej Pázman:

Design of Experiments in Nonlinear Models : Asymptotic Normality, Optimality Criteria and Small-Sample Properties - pocketboek

2013, ISBN: 1461463629

[EAN: 9781461463627], Neubuch, [SC: 0.0], [PU: Springer New York], ASYMPTOTICNORMALITY; EXPERIMENTALDESIGN; LSESTIMATOR; SMALLSAMPLEPROPERTIES; REGRESSIONMODEL; NON-LINEARREGRESSION, Druc… Meer...

NEW BOOK. Verzendingskosten:Versandkostenfrei. (EUR 0.00) AHA-BUCH GmbH, Einbeck, Germany [51283250] [Rating: 5 (von 5)]
dichtslaan (X)
2
Design of Experiments in Nonlinear Models - Andrej Pázman
bestellen
bij AbeBooks.de
€ 128,39
verzending: € 0,001
bestellen
Details aangeboden
Gesponsorde link

Andrej Pázman:

Design of Experiments in Nonlinear Models - pocketboek

2013, ISBN: 1461463629

[EAN: 9781461463627], Neubuch, [PU: Springer New York Apr 2013], ASYMPTOTICNORMALITY; EXPERIMENTALDESIGN; LSESTIMATOR; SMALLSAMPLEPROPERTIES; REGRESSIONMODEL; NON-LINEARREGRESSION, This i… Meer...

NEW BOOK. Verzendingskosten:Versandkostenfrei. (EUR 0.00) BuchWeltWeit Inh. Ludwig Meier e.K., Bergisch Gladbach, Germany [57449362] [Rating: 5 (von 5)]
dichtslaan (X)
3
Design of Experiments in Nonlinear Models: Asymptotic Normality, Optimality Criteria and Small-Sample Properties (Lecture Notes in Statistics, Band 212) - Pronzato, Luc
bestellen
bij amazon.de
€ 119,10
verzending: € 3,001
bestellen
Details aangeboden
Gesponsorde link
Pronzato, Luc:
Design of Experiments in Nonlinear Models: Asymptotic Normality, Optimality Criteria and Small-Sample Properties (Lecture Notes in Statistics, Band 212) - pocketboek

2013

ISBN: 9781461463627

Mitwirkende: Pázman, Andrej, Springer, Taschenbuch, Auflage: 2013, 416 Seiten, Publiziert: 2013-04-10T00:00:01Z, Produktgruppe: Buch, 13.81 kg, Medizin, Kategorien, Bücher, Recht, Soziolo… Meer...

Verzendingskosten:Gewöhnlich versandfertig in 6 bis 7 Tagen. Die angegebenen Versandkosten können von den tatsächlichen Kosten abweichen. (EUR 3.00) preigu
dichtslaan (X)
4
bestellen
bij Biblio.co.uk
$ 76,12
(ongeveer € 70,03)
verzending: € 10,501
bestellen
Details aangeboden
Gesponsorde link
Pronzato, Luc & Pazman, Andrej:
DESIGN OF EXPERIMENTS IN NONLINEAR MODELS: ASYMPTOTIC NORMALITY, OPTIMALITY CRITERIA AND SMALL-SAMPLE PROPERTIES - eerste uitgave

2013, ISBN: 9781461463627

pocketboek

Published by Springer, 2013. 1st edition.. Paperback. Very Good. Very good condition. Lecture Notes in Statistics 212. A comprehensive coverage of the various aspects of experimental de… Meer...

Verzendingskosten: EUR 10.50 Stella & Rose's Books
dichtslaan (X)
5
Design of Experiments in Nonlinear Models - Luc Pronzato
bestellen
bij BookDepository.com
€ 181,33
verzending: € 0,001
bestellen
Details aangeboden
Gesponsorde link
Luc Pronzato:
Design of Experiments in Nonlinear Models - pocketboek

ISBN: 9781461463627

Paperback, [PU: Springer-Verlag New York Inc.], Design of Experiments in Nonlinear Models: Asymptotic Normality, Optimality Criteria and Small-Sample Properties provides a comprehensive c… Meer...

Verzendingskosten:Versandkostenfrei. (EUR 0.00)
dichtslaan (X)
1Aangezien sommige platformen geen verzendingsvoorwaarden meedelen en deze kunnen afhangen van het land van levering, de aankoopprijs, het gewicht en de grootte van het artikel, een eventueel lidmaatschap van het platform, een rechtstreekse levering door het platform of via een derde aanbieder (Marktplaats), enz., is het mogelijk dat de door euro-boek.nl meegedeelde verzendingskosten niet overeenstemmen met deze van het aanbiedende platform.

Bibliografische gegevens van het best passende boek

Bijzonderheden over het boek
Design of Experiments in Nonlinear Models: Asymptotic Normality, Optimality Criteria and Small-Sample Properties (Lecture Notes in Statistics, Band 212)
auteur:
Titel:
ISBN:

9781461463627


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 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.

Gedetalleerde informatie over het boek. - Design of Experiments in Nonlinear Models: Asymptotic Normality, Optimality Criteria and Small-Sample Properties (Lecture Notes in Statistics, Band 212)


EAN (ISBN-13): 9781461463627
ISBN (ISBN-10): 1461463629
Gebonden uitgave
pocket book
Verschijningsjaar: 2013
Uitgever: Springer

Boek bevindt zich in het datenbestand sinds 2014-09-01T15:37:48+02:00 (Amsterdam)
Detailpagina laatst gewijzigd op 2023-07-08T00:06:03+02:00 (Amsterdam)
ISBN/EAN: 9781461463627

ISBN - alternatieve schrijfwijzen:
1-4614-6362-9, 978-1-4614-6362-7
alternatieve schrijfwijzen en verwante zoekwoorden:
Auteur van het boek: paz, pronzato, pazman andre, pron
Titel van het boek: design experiment, asymptotic statistics, experiments experiment, the design experiments, sample, nonlinear

Gegevens van de uitgever

Auteur: Luc Pronzato; Andrej Pázman
Titel: Lecture Notes in Statistics; Design of Experiments in Nonlinear Models - Asymptotic Normality, Optimality Criteria and Small-Sample Properties
Uitgeverij: Springer; Springer US
399 Bladzijden
Verschijningsjaar: 2013-04-10
New York; NY; US
Gedrukt / Gemaakt in
Taal: Engels
139,09 € (DE)
142,99 € (AT)
153,50 CHF (CH)
POD
XV, 399 p. 56 illus., 37 illus. in color.

BC; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Asymptotic Normality; Experimental Design; LS Estimator; Non-Linear Regression; Regression Model; Small Sample Properties; Biostatistics; Statistics; Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy; Sozialforschung und -statistik; EA

provides a comprehensive coverage of the various aspects of experimental design for nonlinear models. The book contains 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.

Design of Experiments in Nonlinear Models: Asymptotic Normality, Optimality Criteria and Small-Sample Properties Asymptotic properties of the LS estimator.- Asymptotic properties of M, ML and maximum a posteriori estimators.- Local optimality criteria based on asymptotic normality.- Criteria based on the small-sample precision of the LS estimator.- Identifiability, estimability and extended optimality criteria.- Nonlocal optimum design.- Algorithms—a survey.- Subdifferentials and subgradients.- Computation of derivatives through sensitivity functions.- Proofs.- Symbols and notation.- List of labeled assumptions.- References.

From the reviews:

(with Henry P. Wynn and Anatoly A. Zhigljavsky, Chapman & Hall/CRC Press, 2000). 

(Kluwer, 1993).

Directeur de Recherche Informatique, Signaux et Systèmes, Sophia-Antipolis Identification of Parametric Models from Experimental Data  Dynamical Search: Applications of Dynamical Systems in Search and Optimization  Foundations of Optimum Experimental Design  Nonlinear Statistical Models 

provides a comprehensive coverage of the various aspects of experimental design for nonlinear models. The book contains 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.

Design of Experiments in Nonlinear Models: Asymptotic Normality, Optimality Criteria and Small-Sample Properties
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, asymptotic normality, and optimality criteria

Andere boeken die eventueel grote overeenkomsten met dit boek kunnen hebben:

Laatste soortgelijke boek:
9781461463634 Design of Experiments in Nonlinear Models (Luc Pronzato; Andrej Pázman)

< naar Archief...