Druck auf Anfrage Neuware - Printed after ordering - 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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Bibliographic Details

Title: Chaos in Real Data : The Analysis of Non-Linear Dynamics from Short Ecological Time Series
Publisher: Springer Netherlands, Springer
Publication Date: 2000
Language: English
ISBN 10: 0412796902
ISBN 13: 9780412796906
Binding: Buch
Condition: Neu
Dimensions: 241 millimeters width by 160 millimeters height by 18 millimeters depth
Weight: 535 grams

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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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