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Extracting Knowledge From Time Series pp 349–388Cite as

Outdoor Examples

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

Abstract

In this final chapter, we illustrate different steps of the procedure of modelling from time series in more detail. For that, we use examples from the fields of electronics (Sect. 13.1), physiology (Sect. 13.2) and climatology (Sect. 13.3). They are presented in the order of decreasing amount of a priori information about an object: an appropriate model structure is completely known and only model parameters are estimated from data (Sect. 13.1); an appropriate model structure is partly known (Sect. 13.2); no specific ideas about suitable model equations are available (Sect. 13.3). For the sake of unity, we formulate the same purpose of empirical modelling in all the three cases, namely identification of directional couplings between the processes under study. This task has also been considered in the previous chapter, where a compact and more technical description of several techniques and applications has been given.

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Authors and Affiliations

  1. Saratov State University, Astrakhanskaya Street 83, 410012, Saratov, Russia

    Prof. Boris P. Bezruchko

  2. Russian Academy of Science, V.A. Kotel’nikov Institute of RadioEngineering and Electronics, Saratov Branch, Zelyonaya Str. 38, 410019, Saratov, Russia

    Dr. Dmitry A. Smirnov

Authors
  1. Prof. Boris P. Bezruchko
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  2. Dr. Dmitry A. Smirnov
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Correspondence to Boris P. Bezruchko .

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Bezruchko, B.P., Smirnov, D.A. (2010). Outdoor Examples. In: Extracting Knowledge From Time Series. Springer Series in Synergetics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12601-7_13

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  • DOI: https://doi.org/10.1007/978-3-642-12601-7_13

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