Nonlinear time series analysis:
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...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2010
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| Ausgabe: | Second edition |
| Schlagworte: | |
| Online-Zugang: | BSB01 FHN01 UBM01 UER01 Volltext |
| Zusammenfassung: | 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 being made to exploit ideas from chaos theory wherever the data displays more structure than can be captured by traditional methods. Problems of this kind are typical in biology and physiology but also in geophysics, economics, and many other sciences |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
| Beschreibung: | 1 online resource (xvi, 369 pages) |
| ISBN: | 9780511755798 |
| DOI: | 10.1017/CBO9780511755798 |
Internformat
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| dewey-full | 519.5/5 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
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| dewey-tens | 510 - Mathematics |
| discipline | Mathematik Wirtschaftswissenschaften |
| doi_str_mv | 10.1017/CBO9780511755798 |
| edition | Second edition |
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| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:39:19Z |
| institution | BVB |
| isbn | 9780511755798 |
| language | English |
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| publishDate | 2010 |
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| spelling | Kantz, Holger 1960- Verfasser (DE-588)118107380 aut Nonlinear time series analysis Holger Kantz and Thomas Schreiber Second edition Cambridge Cambridge University Press 2010 1 online resource (xvi, 369 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 05 Oct 2015) 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 being made to exploit ideas from chaos theory wherever the data displays more structure than can be captured by traditional methods. Problems of this kind are typical in biology and physiology but also in geophysics, economics, and many other sciences Time-series analysis Nonlinear theories Nichtlineare Zeitreihenanalyse (DE-588)4276267-4 gnd rswk-swf Nichtlineare Zeitreihenanalyse (DE-588)4276267-4 s 1\p DE-604 Schreiber, Thomas 1963- Sonstige (DE-588)129232645 oth Erscheint auch als Druck-Ausgabe, Hardcover 978-0-521-82150-6 Erscheint auch als Druck-Ausgabe, Paperback 978-0-521-52902-0 https://doi.org/10.1017/CBO9780511755798 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Kantz, Holger 1960- Nonlinear time series analysis Time-series analysis Nonlinear theories Nichtlineare Zeitreihenanalyse (DE-588)4276267-4 gnd |
| subject_GND | (DE-588)4276267-4 |
| title | Nonlinear time series analysis |
| title_auth | Nonlinear time series analysis |
| title_exact_search | Nonlinear time series analysis |
| title_full | Nonlinear time series analysis Holger Kantz and Thomas Schreiber |
| title_fullStr | Nonlinear time series analysis Holger Kantz and Thomas Schreiber |
| title_full_unstemmed | Nonlinear time series analysis Holger Kantz and Thomas Schreiber |
| title_short | Nonlinear time series analysis |
| title_sort | nonlinear time series analysis |
| topic | Time-series analysis Nonlinear theories Nichtlineare Zeitreihenanalyse (DE-588)4276267-4 gnd |
| topic_facet | Time-series analysis Nonlinear theories Nichtlineare Zeitreihenanalyse |
| url | https://doi.org/10.1017/CBO9780511755798 |
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