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Chaos in Real Data: The Analysis of Non-Linear Dynamics from Short Ecological Time Series: 27 - Brossura
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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.
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Contenuti
Foreword; W.M. Schaffer. Preface; J.N. Perry. 1. Defining chaos for real, noisy data: local Lyapunov exponents and sensitive response to perturbations; S.P. Ellner. 2. Modelling time-series data; P. Turchin, S.P. Ellner. 3. Measles as a testbed for characterising nonlinear behaviour in ecology; B.T. Grenfell. 4. Population dynamics of small rodents in northern Fennoscandia; H. Henttonen, I. Hanski. 5. Analysis of population fluctuations in the aphid Hyperomyzus lactucae and the moth Perizoma alchemillata; I.P. Woiwod, P. Rothery, Xilong Zhou. 6. One, two and three-species time series from a host-pathogen-parasitoid systems; M. Begon, S.M. Sait, D.J. Thompson, Xilong Zhou, E.D. Bell. 7. Blowflies as a case study in non-linear population dynamics; R.H. Smith, S. Daniels, K. Simkiss, E.D. Bell, S.P. Ellner, M.B. Forrest. 8. Overview; J.N. Perry. 9. A glossary of terms used in nonlinear dynamics; D.R. Morse, J.N. Perry, R.H. Smith.
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Chaos in Real Data: The Analysis of Non-Linear Dynamics from Short Ecological Time Series
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Chaos in Real Data: The Analysis of Non-Linear Dynamics from Short Ecological Time Series (Population and Community Biology Series)
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Paperback. Condizione: new. Paperback. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9789401057721
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Chaos in Real Data: The Analysis of Non-Linear Dynamics from Short Ecological Time Series (Population and Community Biology Series)
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Chaos in Real Data: The Analysis of Non-Linear Dynamics from Short Ecological Time Series (Population and Community Biology Series)
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Chaos in Real Data: The Analysis of Non-Linear Dynamics from Short Ecological Time Series (Population and Community Biology Series)
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Chaos in Real Data
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Springer Netherlands Okt 2012, 2012
ISBN 10: 9401057729
ISBN 13: 9789401057721
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 244 pp. Englisch. Codice articolo 9789401057721
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Chaos in Real Data : The Analysis of Non-Linear Dynamics from Short Ecological Time Series
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Condizione: New. Editor(s): Perry, Joe N.; Smith, R.H.; Woiwod, I.P.; Morse, D.R. (Computing Laboratory, University of Kent). Series: Population and Community Biology Series. Num Pages: 226 pages, biography. BIC Classification: PBF; PBW; PSAF; PSAJ. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 13. Weight in Grams: 379. . 2012. Softcover reprint of the original 1st ed. 2000. Paperback. . . . . Codice articolo V9789401057721
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