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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.
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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