Nonlinear time series analysis with R

Nonlinear time series analysis with R / Ray Huffaker, Marco Bittelli, and Rodolfo Rosa.

A practical guide to emerging empirical techniques allowing practitioners to diagnose whether highly fluctuating and random appearing data are most likely driven by random or deterministic dynamic forces.

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Bibliographic Details
Main Authors: Huffaker, Ray C. (Author), Bittelli, Marco (Author), Rosa, Rodolfo (Author)
Format: eBook
Language:English
Published: Oxford : Oxford University Press, 2018.
Edition:First edition.
Subjects:
Time-series analysis.
Nonlinear theories.
R (Computer program language)
Nonlinear theories
Time-series analysis
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Status: Available

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