Chaos in Real Data: The Analysis of Non-Linear Dynamics from Short Ecological Time Series
Chaos in Real Data studies the range of data analytic techniques available to study nonlinear population dynamics for ecological time series. Several case studies are studied using typically short and noisy population data from field and laboratory. A range of modern approaches, such as response sur...
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| Other Authors: | , , , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Dordrecht
Springer Netherlands
2000
|
| Series: | Population and Community Biology Series
27 |
| Subjects: | |
| Online Access: | UBR01 Volltext |
| Summary: | Chaos in Real Data studies the range of data analytic techniques available to study nonlinear population dynamics for ecological time series. Several case studies are studied using typically short and noisy population data from field and laboratory. A range of modern approaches, such as response surface methodology and mechanistic mathematical modelling, are applied to several case studies. Experts honestly appraise how well these methods have performed on their data. The accessible style of the book ensures its readability for non-quantitative biologists. The data remain available, as benchmarks for future study, on the worldwide web |
| Physical Description: | 1 Online-Ressource (XII, 226 p) |
| ISBN: | 9789401140102 |
| DOI: | 10.1007/978-94-011-4010-2 |
Staff View
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| spelling | Chaos in Real Data The Analysis of Non-Linear Dynamics from Short Ecological Time Series edited by Joe N. Perry, Robert H. Smith, Ian P. Woiwod, David R. Morse Dordrecht Springer Netherlands 2000 1 Online-Ressource (XII, 226 p) txt rdacontent c rdamedia cr rdacarrier Population and Community Biology Series 27 Chaos in Real Data studies the range of data analytic techniques available to study nonlinear population dynamics for ecological time series. Several case studies are studied using typically short and noisy population data from field and laboratory. A range of modern approaches, such as response surface methodology and mechanistic mathematical modelling, are applied to several case studies. Experts honestly appraise how well these methods have performed on their data. The accessible style of the book ensures its readability for non-quantitative biologists. The data remain available, as benchmarks for future study, on the worldwide web Evolutionary Biology Ecology Mathematical and Computational Biology Statistics, general Evolution (Biology) Statistics Perry, Joe N. edt Smith, Robert H. edt Woiwod, Ian P. edt Morse, David R. edt Erscheint auch als Druck-Ausgabe 9780412796906 Erscheint auch als Druck-Ausgabe 9789401057721 Erscheint auch als Druck-Ausgabe 9789401140119 https://doi.org/10.1007/978-94-011-4010-2 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Chaos in Real Data The Analysis of Non-Linear Dynamics from Short Ecological Time Series Evolutionary Biology Ecology Mathematical and Computational Biology Statistics, general Evolution (Biology) Statistics |
| title | Chaos in Real Data The Analysis of Non-Linear Dynamics from Short Ecological Time Series |
| title_auth | Chaos in Real Data The Analysis of Non-Linear Dynamics from Short Ecological Time Series |
| title_exact_search | Chaos in Real Data The Analysis of Non-Linear Dynamics from Short Ecological Time Series |
| title_full | Chaos in Real Data The Analysis of Non-Linear Dynamics from Short Ecological Time Series edited by Joe N. Perry, Robert H. Smith, Ian P. Woiwod, David R. Morse |
| title_fullStr | Chaos in Real Data The Analysis of Non-Linear Dynamics from Short Ecological Time Series edited by Joe N. Perry, Robert H. Smith, Ian P. Woiwod, David R. Morse |
| title_full_unstemmed | Chaos in Real Data The Analysis of Non-Linear Dynamics from Short Ecological Time Series edited by Joe N. Perry, Robert H. Smith, Ian P. Woiwod, David R. Morse |
| title_short | Chaos in Real Data |
| title_sort | chaos in real data the analysis of non linear dynamics from short ecological time series |
| title_sub | The Analysis of Non-Linear Dynamics from Short Ecological Time Series |
| topic | Evolutionary Biology Ecology Mathematical and Computational Biology Statistics, general Evolution (Biology) Statistics |
| topic_facet | Evolutionary Biology Ecology Mathematical and Computational Biology Statistics, general Evolution (Biology) Statistics |
| url | https://doi.org/10.1007/978-94-011-4010-2 |
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