2003, ISBN: 9780511075421
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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, determinist… Plus…
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ISBN: 9780511075421
New edition of a successful advanced text on nonlinear time series analysis.; PDF; Scientific, Technical and Medical > Mathematics > Probability & statistics, Cambridge University Press
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2003, ISBN: 9780511075421
eBooks, eBook Download (PDF), Auflage, [PU: Cambridge University Press], [ED: 1], Cambridge University Press, 2003
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2003, ISBN: 9780511075421
eBooks, eBook Download (PDF), Auflage, The paradigm of deterministic chaos has influenced thinking in many fields of science. Chaotic systems show rich and surprising mathematical structu… Plus…
ISBN: 9780511075421
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, determinist… Plus…
ISBN: 9780511075421
New edition of a successful advanced text on nonlinear time series analysis.; PDF; Scientific, Technical and Medical > Mathematics > Probability & statistics, Cambridge University Press
2003, ISBN: 9780511075421
eBooks, eBook Download (PDF), Auflage, [PU: Cambridge University Press], [ED: 1], Cambridge University Press, 2003
2003, ISBN: 9780511075421
[ED: 1], Auflage, eBook Download (PDF), eBooks, [PU: Cambridge University Press]
Données bibliographiques du meilleur livre correspondant
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Informations détaillées sur le livre - Nonlinear Time Series Analysis
EAN (ISBN-13): 9780511075421
Date de parution: 2003
Editeur: Cambridge University Press
Livre dans la base de données depuis 2007-02-17T14:01:24+01:00 (Zurich)
Page de détail modifiée en dernier sur 2023-09-19T14:30:09+02:00 (Zurich)
ISBN/EAN: 9780511075421
ISBN - Autres types d'écriture:
978-0-511-07542-1
Autres types d'écriture et termes associés:
Auteur du livre: kantz, thomas schreiber
Titre du livre: doing time, time was, little time, time brief, nonlinear time series analysis
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