Climate Time Series Analysis Classical Statistical and Bootstrap Methods /
Climate is a paradigm of a complex system. Analysing climate data is an exciting challenge, which is increased by non-normal distributional shape, serial dependence, uneven spacing and timescale uncertainties. This book presents bootstrap resampling as a computing-intensive method able to meet the c...
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| Format: | Electronic eBook |
| Language: | English |
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Dordrecht :
Springer Netherlands : Imprint: Springer,
2010.
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| Series: | Atmospheric and Oceanographic Sciences Library,
42 |
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| Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Fundamental Concepts
- Persistence Models
- Bootstrap Confidence Intervals
- Univariate Time Series
- Regression I
- Spectral Analysis
- Extreme Value Time Series
- Bivariate Time Series
- Correlation
- Regression II
- Outlook
- Future Directions.