Journals Higher Education
Important OUP's Response to COVID-19 Learn more



Published: 28 September 2017

372 Pages | 91 black and white figures/illustrations


ISBN: 9780198808251

Also Available As:


Also Available In:

Bookseller Code (AG)

Nonlinear Time Series Analysis with R

Ray Huffaker, Marco Bittelli, and Rodolfo Rosa

  • Introduces useful data diagnostic tools to non-mathematicians
  • Includes hands-on computer experiments in R code to learn and run Nonlinear Time Series Analysis
  • Written for professionals and graduate students in engineering, physical, life and social sciences
  • Consistent with modern trends in university instruction