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Ajouter au panierhardcover. Etat : Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Ajouter au panierpaperback. Etat : Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Ajouter au panierBrand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
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Ajouter au panierEtat : New. In English.
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Edité par Springer-Verlag New York Inc., US, 2019
ISBN 10 : 149398845X ISBN 13 : 9781493988457
Langue: anglais
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
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Ajouter au panierHardback. Etat : New. Second Edition 2018. This book describes methods for designing and analyzing experiments that are conducted using a computer code, a computer experiment, and, when possible, a physical experiment. Computer experiments continue to increase in popularity as surrogates for and adjuncts to physical experiments. Since the publication of the first edition, there have been many methodological advances and software developments to implement these new methodologies. The computer experiments literature has emphasized the construction of algorithms for various data analysis tasks (design construction, prediction, sensitivity analysis, calibration among others), and the development of web-based repositories of designs for immediate application. While it is written at a level that is accessible to readers with Masters-level training in Statistics, the book is written in sufficient detail to be useful for practitioners and researchers. New to this revised and expanded edition:. An expanded presentation of basic material on computer experiments and Gaussian processes with additional simulations and examples . A new comparison of plug-in prediction methodologies for real-valued simulator output. An enlarged discussion of space-filling designs including Latin Hypercube designs (LHDs), near-orthogonal designs, and nonrectangular regions. A chapter length description of process-based designs for optimization, to improve good overall fit, quantile estimation, and Pareto optimization . A new chapter describing graphical and numerical sensitivity analysis tools. Substantial new material on calibration-based prediction and inference for calibration parameters . Lists of software that can be used to fit models discussed in the book to aid practitioners.
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Ajouter au panierHardcover. Etat : Brand New. 2nd edition. 436 pages. 9.25x6.25x1.25 inches. In Stock.
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Ajouter au panierHardcover. Etat : New. New. book.
Edité par Springer-Verlag New York Inc., US, 2019
ISBN 10 : 149398845X ISBN 13 : 9781493988457
Langue: anglais
Vendeur : Rarewaves.com UK, London, Royaume-Uni
EUR 187,36
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Ajouter au panierHardback. Etat : New. Second Edition 2018. This book describes methods for designing and analyzing experiments that are conducted using a computer code, a computer experiment, and, when possible, a physical experiment. Computer experiments continue to increase in popularity as surrogates for and adjuncts to physical experiments. Since the publication of the first edition, there have been many methodological advances and software developments to implement these new methodologies. The computer experiments literature has emphasized the construction of algorithms for various data analysis tasks (design construction, prediction, sensitivity analysis, calibration among others), and the development of web-based repositories of designs for immediate application. While it is written at a level that is accessible to readers with Masters-level training in Statistics, the book is written in sufficient detail to be useful for practitioners and researchers. New to this revised and expanded edition:. An expanded presentation of basic material on computer experiments and Gaussian processes with additional simulations and examples . A new comparison of plug-in prediction methodologies for real-valued simulator output. An enlarged discussion of space-filling designs including Latin Hypercube designs (LHDs), near-orthogonal designs, and nonrectangular regions. A chapter length description of process-based designs for optimization, to improve good overall fit, quantile estimation, and Pareto optimization . A new chapter describing graphical and numerical sensitivity analysis tools. Substantial new material on calibration-based prediction and inference for calibration parameters . Lists of software that can be used to fit models discussed in the book to aid practitioners.
Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
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Ajouter au panierPAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
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Ajouter au panierPAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Vendeur : moluna, Greven, Allemagne
EUR 118,61
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Ajouter au panierEtat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book describes methods for designing and analyzing experiments conducted using computer code in lieu of a physical experiment. It discusses how to select the values of the factors at which to run the code (the design of the computer experiment). It .
Vendeur : moluna, Greven, Allemagne
EUR 136,16
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Ajouter au panierEtat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. New to this revised and expanded edition:An expanded presentation of basic material on computer experiments and Gaussian processes with additional simulations and examplesA new comparison of plug-.