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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Corporate Author: | |
Format: | Electronic eBook |
Language: | English |
Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2014.
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Edition: | 2nd ed. 2014. |
Series: | Atmospheric and Oceanographic Sciences Library,
51 |
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Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Part I: Fundamental Concepts
- 1 Introduction
- 2 Persistence Models
- 3 Bootstrap Confidence Intervals
- Part II: Univariate Time Series
- 4 Regression I
- 5 Spectral Analysis
- 6. Extreme Value Time Series
- Part III: Bivariate Time Series
- 7 Correlation
- 8 Regression II
- Part IV: Outlook
- 9 Future Directions.