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140122 ||| eng |
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|a 9783642753985
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| 100 |
1 |
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|a Kranz, Jürgen
|e [editor]
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| 245 |
0 |
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|a Epidemics of Plant Diseases
|h Elektronische Ressource
|b Mathematical Analysis and Modeling
|c edited by Jürgen Kranz
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| 250 |
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|a 2nd ed. 1990
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| 260 |
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|a Berlin, Heidelberg
|b Springer Berlin Heidelberg
|c 1990, 1990
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| 300 |
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|a XV, 268 p. 1 illus
|b online resource
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| 505 |
0 |
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|a I Epidemics, Their Mathematical Analysis and Modeling: An Introduction -- 1. Concepts and Scope of Epidemiology -- 2. Mathematics in Epidemiology -- 3. Models and Their Role in Epidemiology -- 4. Mathematical Analysis of Epidemics -- 5. Models as Synoptics Tools -- 6. Outlook -- 7. References -- II Mathematics and Statistics for Analysis in Epidemiology -- 1. Introduction -- 2. Experimentation in Epidemiology -- 3. Common Mathematical Analyses -- 4. Multivariate Analyses -- 5. Other Mathematical Methods -- 6. Concluding Remarks -- References -- III Mathematical Analysis and Modeling of Spatial Aspects of Plant Disease Epidemics -- 1. Introduction -- 2. Populations Changing in Space -- 3. Population Models of Spatial Change -- 4. Spatial and Temporal Spread of Disease -- References -- IV Mathematical Modeling and Analysis of Soilborne Pathogens -- 1. Introduction -- 2. Conceptual Models for Subterranean Epidemics -- 3. Analysis of Subterranean Epidemics -- References -- V Multiple Regression Analysis in the Epidemiology of Plant Diseases -- 1. Introduction -- 2. The Nature of Multiple Regression Analysis in Epidemiology -- 3. The Execution of Multiple Regression Analysis -- 4. The Interpretation of Relationships Exposed by Multiple Regression Analysis -- 5. The Applications of Multiple Regression Analysis in Epidemiology -- 6. Conclusions: The Place of Multiple Regression in CurrentApproaches to Epidemic Analysis -- References -- VI Nonlinear Disease Progress Curves -- 1. Introduction -- 2. Linear and Nonlinear Models -- 3. Models of Disease Progression -- 4. Model Selection and Parameter Estimation -- 5. Model Extensions -- 6. Discussion -- References -- VII Assembling and Using Models of Epidemics -- 1. Introduction -- 2. The Classes of Models -- 3. Accuracy of Models -- 4. Summaries by Regression Equations -- 5. Analytic Equations -- 6. Simulators of Disease -- 7. Dispersal -- 8. Models of Crops and Pests -- References
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| 653 |
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|a Bioinformatics
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| 653 |
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|a Computational and Systems Biology
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| 653 |
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|a Mathematical and Computational Biology
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| 653 |
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|a Biostatistics
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| 653 |
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|a Forestry
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| 653 |
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|a Biomathematics
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| 653 |
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|a Ecology
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| 653 |
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|a Agriculture
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| 653 |
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|a Ecology
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| 653 |
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|a Biometry
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| 041 |
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7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b SBA
|a Springer Book Archives -2004
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| 490 |
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|a Ecological Studies, Analysis and Synthesis
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| 028 |
5 |
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|a 10.1007/978-3-642-75398-5
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| 856 |
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|u https://doi.org/10.1007/978-3-642-75398-5?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
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|a 630
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| 520 |
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|a In this volume experts present the latest status of mathematical and statistical methods in use for the analysis and modeling of plant disease epidemics. Topics treated are - methods in multivariate analyses, ordination and classification, - modeling of temporal and spatial aspects of air- and soilborne diseases, - methods to analyse and describe competition among subpopulations, e.g. pathogen races and - their interaction with resistance genes of host plants - assemblage and use of models - mathematical simulation of epidemics. New chapters on the modeling of the spreading of diseases in air and in soil are included in this second edition
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