Chaos in Real Data

The Analysis of Non-Linear Dynamics from Short Ecological Time Series

Nonfiction, Science & Nature, Science, Biological Sciences, Ecology, Evolution
Cover of the book Chaos in Real Data by , Springer Netherlands
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Author: ISBN: 9789401140102
Publisher: Springer Netherlands Publication: December 6, 2012
Imprint: Springer Language: English
Author:
ISBN: 9789401140102
Publisher: Springer Netherlands
Publication: December 6, 2012
Imprint: Springer
Language: English

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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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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