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Method to Discriminate Against Determinism in Time Series Data

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Predictability of Complex Dynamical Systems

Part of the book series: Springer Series in Synergetics ((SSSYN,volume 69))

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Abstract

We describe a general, systematic method for assessing the presence or absence of determinism in time series. Our method is rooted in the standard engineering paradigm of hypothesis testing. Our application of this procedure is novel, however, for we test given data sets against the class of data sets that produce smoothness. That is, our null hypothesis is that of determinism. We highlight two inherently interactive key features of our approach which conspire to make this treatment promising, the use of a smoothness detector and of chaotic noise reduction.

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© 1996 Springer-Verlag Berlin Heidelberg

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Cawley, R., Hsu, GH., Salvino, L.W. (1996). Method to Discriminate Against Determinism in Time Series Data. In: Kravtsov, Y.A., Kadtke, J.B. (eds) Predictability of Complex Dynamical Systems. Springer Series in Synergetics, vol 69. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-80254-6_2

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  • DOI: https://doi.org/10.1007/978-3-642-80254-6_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-80256-0

  • Online ISBN: 978-3-642-80254-6

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