Librería: ALLBOOKS1, Direk, SA, Australia
EUR 46,99
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Librería: LiLi - La Liberté des Livres, CANEJAN, Francia
EUR 48,00
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Añadir al carritoCondición: very good. l'article peut presenter de tres legers signes d'usure, petites rayures ou imperfections esthetiques. vendeur professionnel; envoi soigne en 24/48h.
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 105,50
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Añadir al carritoHardcover. Condición: Like New. Like New. book.
Librería: Majestic Books, Hounslow, Reino Unido
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Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 148,87
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Librería: Revaluation Books, Exeter, Reino Unido
EUR 133,56
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Añadir al carritoHardcover. Condición: Brand New. 3rd edition. 597 pages. 9.00x6.25x1.75 inches. In Stock.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 154,92
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Publicado por Elsevier Science Publishing Co Inc, 2018
ISBN 10: 0128117567 ISBN 13: 9780128117569
Idioma: Inglés
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 145,34
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Añadir al carritoHardback. Condición: New. New copy - Usually dispatched within 4 working days. 1175.
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 251,31
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Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 118,06
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Añadir al carritoCondición: new. Questo è un articolo print on demand.
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 150,10
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Añadir al carritoBuch. Condición: 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.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 156,12
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Añadir al carritoBuch. Condición: 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.