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Recurrence Quantification Analysis = Theory and Best Practices /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Recurrence Quantification Analysis/ edited by Charles L. Webber, Jr., Norbert Marwan.
Reminder of title:	Theory and Best Practices /
other author:	Webber, Jr., Charles L.
Description:	XIV, 421 p. 210 illus., 107 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Statistical physics. -
Online resource:	https://doi.org/10.1007/978-3-319-07155-8
ISBN:	9783319071558

Recurrence Quantification Analysis = Theory and Best Practices /
Recurrence Quantification AnalysisTheory and Best Practices /[electronic resource] :edited by Charles L. Webber, Jr., Norbert Marwan. - 1st ed. 2015. - XIV, 421 p. 210 illus., 107 illus. in color.online resource. - Understanding Complex Systems,1860-0832. - Understanding Complex Systems,.

Mathematical and Computational Foundations of Recurrence -- Estimating Kolmogorov Entropy from Recurrence Plots.-Identifying Coupling Directions by Recurrences -- Complex Network Analysis of Recurrences -- Time Distortions and Other Oddities -- Dynamic Coupling between Respiratry and Cardiovascular System.

The analysis of recurrences in dynamical systems by using recurrence plots and their quantification is still an emerging field. Over the past decades recurrence plots have proven to be valuable data visualization and analysis tools in the theoretical study of complex, time-varying dynamical systems as well as in various applications in biology, neuroscience, kinesiology, psychology, physiology, engineering, physics, geosciences, linguistics, finance, economics, and other disciplines. This multi-authored book intends to comprehensively introduce and showcase recent advances as well as established best practices concerning both theoretical and practical aspects of recurrence plot based analysis. Edited and authored by leading researcher in the field, the various chapters address an interdisciplinary readership, ranging from theoretical physicists to application-oriented scientists in all data-providing disciplines.

ISBN: 9783319071558

Standard No.: 10.1007/978-3-319-07155-8doiSubjects--Topical Terms:

528048
Statistical physics.

LC Class. No.: QC174.7-175.36

Dewey Class. No.: 621

Recurrence Quantification Analysis = Theory and Best Practices /
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