Nonlinear Time Series Analysis with R

by Marco Bittelli, Ray Huffaker, Rodolfo Rosa

Nonlinear Time Series Analysis with R provides 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. It joins the chorus of voices recommending 'getting to know your data' as an essential preliminary evidentiary step in modelling. Time series are often highly fluctuating with a random appearance. Observed...

• Format: Paperback
• Language: English
• ISBN: 0198808259
• ISBN13: 9780198808251
• Release Date: December 2017
• Publisher: Oxford University Press, USA
• Length: 384 Pages
• Weight: 1.80 lbs.
• Dimensions: 0.8" x 6.8" x 9.8"