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Titlebook: Epidemics of Plant Diseases; Mathematical Analysi Jürgen Kranz Book 19741st edition Springer-Verlag Berlin · Heidelberg 1974 Epidemics.Pfla

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樓主: fungus
21#
發(fā)表于 2025-3-25 04:45:27 | 只看該作者
https://doi.org/10.1007/978-3-322-83470-6, it is concerned with the process whereby collected data are approximated by some explicit mathematical function. We are of the opinion that there are two common attitudes towards this process. The more primitive is to consider the model simply as a means of fitting a line, a plane, or a hyperplane
22#
發(fā)表于 2025-3-25 09:01:01 | 只看該作者
23#
發(fā)表于 2025-3-25 15:28:34 | 只看該作者
Introduction,nment and human interferences (., 1973). It is thus the science of disease dynamics in natural states. Diseases and their epidemics can here be regarded as systems, e.g. “interlocking complexes of processes characterized by many reciprocal cause-effect pathways” (., 1966), regulated by feedback or r
24#
發(fā)表于 2025-3-25 18:35:40 | 只看該作者
25#
發(fā)表于 2025-3-25 21:12:23 | 只看該作者
Non-linear Disease Progress Curves,, it is concerned with the process whereby collected data are approximated by some explicit mathematical function. We are of the opinion that there are two common attitudes towards this process. The more primitive is to consider the model simply as a means of fitting a line, a plane, or a hyperplane
26#
發(fā)表于 2025-3-26 01:35:02 | 只看該作者
27#
發(fā)表于 2025-3-26 05:15:57 | 只看該作者
0070-8356 constructive work on this basis used in the field of epidemiology. A good beginning has been made in clarifying the very complex and sometimes confusing data b978-3-642-96220-2Series ISSN 0070-8356 Series E-ISSN 2196-971X
28#
發(fā)表于 2025-3-26 10:14:39 | 只看該作者
29#
發(fā)表于 2025-3-26 12:47:05 | 只看該作者
30#
發(fā)表于 2025-3-26 18:49:28 | 只看該作者
https://doi.org/10.1007/978-3-8349-4003-2e can already make good use of the fundamental pathology that we have in order to analyze, simulate and predict epidemics, to test the adequacy of present pathology, to be surprised sometimes at how well we do, and always to illuminate the importance or insignificance of lacunae in our knowledge.
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