Da: -OnTimeBooks-, Phoenix, AZ, U.S.A.
EUR 28,69
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Da: LiLi - La Liberté des Livres, CANEJAN, Francia
EUR 47,00
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Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 107,15
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Da: Majestic Books, Hounslow, Regno Unito
EUR 135,27
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Da: Revaluation Books, Exeter, Regno Unito
EUR 135,65
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Aggiungi al carrelloHardcover. Condizione: Brand New. 3rd edition. 597 pages. 9.00x6.25x1.75 inches. In Stock.
Da: Books Puddle, New York, NY, U.S.A.
EUR 151,86
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Editore: Elsevier Science Publishing Co Inc, 2018
ISBN 10: 0128117567 ISBN 13: 9780128117569
Lingua: Inglese
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 146,15
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Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days. 1175.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 158,47
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Da: HPB-Red, Dallas, TX, U.S.A.
EUR 102,99
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Aggiungi al carrellohardcover. Condizione: 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!
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 319,05
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Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 118,06
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 150,10
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Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Working with Dynamic Crop Models: Methods, Tools and Examples for Agriculture and Environment, 3e, is a complete guide to working with dynamic system models, with emphasis on models in agronomy and environmental science. The introductory section presents the foundational information for the book including the basics of system models, simulation, the R programming language, and the statistical notions necessary for working with system models. The most important methods of working with dynamic system models, namely uncertainty and sensitivity analysis, model calibration (frequentist and Bayesian), model evaluation, and data assimilation are all treated in detail, in individual chapters. New chapters cover the use of multi-model ensembles, the creation of metamodels that emulate the more complex dynamic system models, the combination of genetic and environmental information in gene-based crop models, and the use of dynamic system models to aid in sampling. The book emphasizes both understanding and practical implementation of the methods that are covered. Each chapter simply and clearly explains the underlying principles and assumptions of each method that is presented, with numerous examples and illustrations. R code for applying the methods is given throughout. This code is designed so that it can be adapted relatively easily to new problems. Englisch.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 156,12
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Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Working with Dynamic Crop Models: Methods, Tools and Examples for Agriculture and Environment, 3e, is a complete guide to working with dynamic system models, with emphasis on models in agronomy and environmental science. The introductory section presents the foundational information for the book including the basics of system models, simulation, the R programming language, and the statistical notions necessary for working with system models. The most important methods of working with dynamic system models, namely uncertainty and sensitivity analysis, model calibration (frequentist and Bayesian), model evaluation, and data assimilation are all treated in detail, in individual chapters. New chapters cover the use of multi-model ensembles, the creation of metamodels that emulate the more complex dynamic system models, the combination of genetic and environmental information in gene-based crop models, and the use of dynamic system models to aid in sampling. The book emphasizes both understanding and practical implementation of the methods that are covered. Each chapter simply and clearly explains the underlying principles and assumptions of each method that is presented, with numerous examples and illustrations. R code for applying the methods is given throughout. This code is designed so that it can be adapted relatively easily to new problems.