Time Series Analysis and Its Applications With R Examples /

The fourth edition of this popular graduate textbook, like its predecessors, presents a balanced and comprehensive treatment of both time and frequency domain methods with accompanying theory. Numerous examples using nontrivial data illustrate solutions to problems such as discovering natural and an...

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Bibliographic Details
Main Authors: Shumway, Robert H. (Author), Stoffer, David S. (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
Edition:4th ed. 2017.
Series:Springer Texts in Statistics,
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • 1. Characteristics of Time Series
  • 2. Time Series Regression and Exploratory Data Analysis
  • 3. ARIMA Models
  • 4. Spectral Analysis and Filtering
  • 5. Additional Time Domain Topics
  • 6. State-Space Models
  • 7. Statistical Methods in the Frequency Domain
  • 8. Appendix A: Large Sample Theory.- Appendix B: Time Domain Theory.- Appendix C: Spectral Domain Theory.- Appendix R: R Supplement.