Time Series Analysis and Its Applications With R Examples /
Time Series Analysis and Its Applications 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 anthropogenic climate change, evaluat...
| Main Authors: | , |
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| Corporate Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
New York, NY :
Springer New York,
2011.
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| Series: | Springer Texts in Statistics,
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| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Characteristics of time series
- Time series regression and exploratory data analysis
- ARIMA models
- Spectral analysis and filtering
- Additional time domain topics
- State-space models
- Statistical methods in the frequency domain.