Nonlinear time series analysis with R /

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.

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) Série chronologique. Théories non linéaires. R (Langage de programmation) Nonlinear theories Time-series analysis Electronic books.
Online Access:	Connect to the full text of this electronic book