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: | eBook |
| Language: | English |
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Dordrecht
Springer Netherlands
2010, 2010
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| Edition: | 1st ed. 2010 |
| Series: | Atmospheric and Oceanographic Sciences Library
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
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