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...
| Main Authors: | , |
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| Corporate Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2017.
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| Edition: | 4th ed. 2017. |
| Series: | Springer Texts in Statistics,
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| 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.