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Holger Kantz - Nonlinear Time Series Analysis - 9780521529020 - V9780521529020
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Nonlinear Time Series Analysis

€ 96.83
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Description for Nonlinear Time Series Analysis Paperback. New edition of a successful advanced text on nonlinear time series analysis. Num Pages: 388 pages, 118 b/w illus. 4 tables 43 exercises. BIC Classification: PBT; PBWR; PH. Category: (P) Professional & Vocational. Dimension: 243 x 171 x 21. Weight in Grams: 662. 388 pages, 118 b/w illus. 4 tables 43 exercises. New edition of a successful advanced text on nonlinear time series analysis. Cateogry: (P) Professional & Vocational. BIC Classification: PBT; PBWR; PH. Dimension: 243 x 171 x 21. Weight: 618.
The paradigm of deterministic chaos has influenced thinking in many fields of science. Chaotic systems show rich and surprising mathematical structures. In the applied sciences, deterministic chaos provides a striking explanation for irregular behaviour and anomalies in systems which do not seem to be inherently stochastic. The most direct link between chaos theory and the real world is the analysis of time series from real systems in terms of nonlinear dynamics. Experimental technique and data analysis have seen such dramatic progress that, by now, most fundamental properties of nonlinear dynamical systems have been observed in the laboratory. Great efforts are ... Read more

Product Details

Publisher
Cambridge University Press
Number of pages
388
Format
Paperback
Publication date
2003
Condition
New
Number of Pages
388
Place of Publication
Cambridge, United Kingdom
ISBN
9780521529020
SKU
V9780521529020
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-1

Reviews for Nonlinear Time Series Analysis
From reviews of the first edition: '... any serious physics institute should have such a book on its shelves. It will be of use to any experimental scientist dealing with nonlinear data or a theoretical physicist who desires a feeling of 'how one does it in an experiment'. The clear course of presentation should make it accessible to undergraduate students.' ... Read more

Goodreads reviews for Nonlinear Time Series Analysis


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