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Use R Introductory Time Series with R (Cowpertwait)

 
 Author(s)  Paul S. P. Cowpertwait, Andrew V. Metcalfe
 Title  Introductory Time Series with R
 Edition  1st
 Year  2009
 Publisher  Springer
 SpringerScience + Business Media, LLC
 ISBN  978-0-387-88697-8
 Website  www.springer.com
 www.massey.ac.nz/~pscowper/ts
 http://staff.elena.aut.ac.nz/Paul-Cowpertwait/ts/  (updated 30JAN2015)
 


From the author's website:
  • "Data listed here are for teaching/research only and can be downloaded free of charge from various sites via the internet. The sources are various, including R, the Climatic Research Unit (University of East Anglia), Rob Hyndman's Time Series library, the Pacific Exchange Rate Service, the United Nations Framework Convention on Climate Change, and the Australian Bureaux of Statistics. We are grateful to these organisations and people for making their data available. Please let us know if you find your data here without a suitable acknowledgement. The chapter in which the data set first appears is shown first."





Table of Contents
  1. Time Series Data
  2. Correlation
  3. Forecasting Strategies
  4. Basic Stochastic Models
  5. Regression
  6. Stationary Models
  7. Non-stationary Models
  8. Long Memory Processes
  9. Spectral Analysis
  10. System Identification
  11. Multivariate Models
  12. State Space Models




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