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  • 1
    UID:
    almahu_BV045913471
    Format: 1 Online-Ressource (X, 155 Seiten) : , Illustrationen.
    ISBN: 978-94-024-1696-1
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-94-024-1695-4
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-94-024-1697-8
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-94-024-1698-5
    Language: English
    Subjects: Agriculture, Forestry, Horticulture, Fishery, Domestic Science , Biology
    RVK:
    RVK:
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 2
    UID:
    almahu_BV045032083
    Format: xvi, 597 Seiten : , Diagramme.
    Edition: third edition
    ISBN: 978-0-12-811756-9
    Note: Literaturangaben und Index
    Language: English
    Keywords: Pflanzenbau ; R ; Statistik ; Pflanzenbau ; Modellierung
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  • 3
    UID:
    b3kat_BV046293878
    Format: 1 Online-Ressource (XIV, 239 p. 74 illus., 44 illus. in color)
    ISBN: 9783319962894
    Series Statement: Sustainable Agriculture Reviews 30
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-319-96288-7
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-319-96290-0
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 4
    UID:
    b3kat_BV039925750
    Format: 1 Online-Ressource
    ISBN: 9782817802503 , 9782817802510
    Series Statement: Collection statistique et probabilités appliquées
    Language: French
    Keywords: Fallstudiensammlung
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  • 5
    UID:
    gbv_50757026X
    Format: XIV, 447 S. , graph. Darst. , 25cm
    Edition: 1. ed.
    ISBN: 0444521356 , 9780444521354
    Note: Formerly CIP , Includes index. - Formerly CIP
    Additional Edition: Erscheint auch als Online-Ausgabe Brun, Francois Working with Dynamic Crop Models Amsterdam : Elsevier Science & Technology, 2006 ISBN 9780080461939
    Language: English
    Subjects: Agriculture, Forestry, Horticulture, Fishery, Domestic Science
    RVK:
    Keywords: Nutzpflanzen ; Mathematisches Modell ; Landwirtschaft ; Statistik
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  • 6
    UID:
    edoccha_9958127375702883
    Format: 1 online resource (465 p.)
    Edition: 1st ed.
    ISBN: 1-280-63858-3 , 9786610638581 , 0-08-046193-X
    Content: Mathematical models are being used more and more widely to study complex dynamic systems (global weather, ecological systems, hydrological systems, nuclear reactors etc. including the specific subject of this book, crop-soil systems). The models are important aids in understanding, predicting and managing these systems. Such models are complex and imperfect. One fundamental research direction is to seek a better understanding of how these systems function, and to propose mathematical expressions embodying that understanding. However, this is not sufficient. It is also essential to have
    Note: Description based upon print version of record. , Cover; Title; Copyright; Table of Contents; List of Contributors; Preface; Overview; Chapter 1: The two forms of crop models; Chapter 2: Evaluating crop models; Chapter 3: Uncertainty and sensitivity analysis for crop models; Chapter 4: Parameter estimation for crop models; Chapter 5: Data assimilation with crop models; Chapter 6: Representing and optimizing management; Chapter 7: Using crop models for multiple fields; Chapter 8: Introduction to Section II; Chapter 9: Fundamental concepts of crop models illustrated by a comparative approach; Chapter 10: Crop models with genotype parameters , Chapter 11: Model-assisted genetic improvement of cropsChapter 12: Parameterization and evaluation of a corn crop model; Chapter 13: Evaluation of a model for kiwifruit; Chapter 14: Sensitivity and uncertainty analysis of a static denitrification model; Chapter 15: Sensitivity analysis of PASTIS, a model of nitrogen transport and transformation in the soil; Chapter 16: Sensitivity analysis of GENESYS, a model for studying the effect of cropping systems on gene flow; Chapter 17: Data assimilation and parameter estimation for precision agriculture using the crop model STICS , Chapter 18: Application of Extended and Ensemble Kalman Filters to soil carbon estimationChapter 19: Analyzing and improving corn irrigation strategies with MODERATO, a combination of a corn crop model and a decision model; Chapter 20: Managing wheat for ethanol production: a multiple criteria approach; Appendix: Statistical notions; Answers to Exercises; Index , English
    Additional Edition: ISBN 0-444-52135-6
    Language: English
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  • 7
    UID:
    almahu_9948311538402882
    Format: xiv, 447 p.
    Edition: 1st ed.
    Edition: Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
    Language: English
    Keywords: Electronic books. ; Electronic books.
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  • 8
    UID:
    edoccha_9959090543802883
    Format: 1 online resource (160 pages) : , illustrations
    Edition: 1st ed. 2019.
    ISBN: 94-024-1696-X
    Content: Data analysis plays an increasing role in research, scientific expertise and prospective studies. Multiple data sources are often available to estimate a key parameter or to test a hypothesis of scientific or societal interest. These data, obtained under different environmental conditions or based on different experimental protocols, are generally heterogeneous. Sometimes they are not even directly accessible and should be extracted from scientific articles or reports. However, a comprehensive analysis of the available data is essential to increase the accuracy of estimates, assess the validity of research conclusions and understand the origin of the variability of the experimental results. A quantitative synthesis of the data set available allows for a better understanding of the effects of explanatory factors and for evidence-based recommendations. Designed as a methodological guide, this book shows the interests and limitations of different statistical methods to analyze data from experimental networks and to perform meta-analyses. It is intended for engineers, students and researchers involved in data analysis in agronomy and environmental science. Our objective is to present the main statistical methods to analyze data from experimental networks and scientific publications. Each chapter exposes one or more methods and illustrates them with examples processed with the R software. Data and R codes are provided and commented in order to facilitate their adaptation to other situations. The codes can be reused from the KenSyn R package associated with this book.
    Note: Chapter 1. Introduction and examples -- Part I. Analysis of experimental networks -- Chapter 2. Basic Concepts -- Chapter 3. Analysis of network of experiments in blocks of complete randomness as a studied factor -- Chapter 4. Advanced Methods for Network Analysis -- Chapter 5. Planning an Experimental Network -- Part II. The meta-analysis -- Chapter 6. Basics for meta-analysis -- Chapter 7. Specific statistical problems for the meta-analysis -- Annex. R resources to implement the methods of analysis networks and meta-analysis -- Package Codes.
    Additional Edition: ISBN 94-024-1695-1
    Language: English
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  • 9
    UID:
    almahu_9948328239902882
    Format: 1 online resource (161 pages) : , illustrations
    ISBN: 9782759228164 (e-book)
    Additional Edition: Print version: Makowski, David. De l'analyse des réseaux expérimentaux à la méta-analyse : Méthodes et applications avec le logiciel R pour les sciences agronomiques et environnementales. Versailles Cedex, France : Editions Quae, 2018 ISBN 9782759228157
    Language: French
    Keywords: Electronic books.
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  • 10
    UID:
    almahu_BV046349438
    Format: x, 155 Seiten : , Diagramme.
    ISBN: 978-94-024-1695-4
    Additional Edition: Erscheint auch als Online-Ausgabe ISBN 978-94-024-1696-1
    Language: English
    Subjects: Agriculture, Forestry, Horticulture, Fishery, Domestic Science , Biology
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    RVK:
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