Climate Time Series Analysis Classical Statistical and Bootstrap Methods /

• Main Author: Mudelsee, Manfred. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic
• Language: English
• Published: Dordrecht : Springer Netherlands : Imprint: Springer, 2010.
• Series: Atmospheric and Oceanographic Sciences Library, 42
• Subjects: Environmental sciences.; Mathematical statistics.; Climatic changes.; Environment.; Climate Change.; Meteorology.; Statistical Theory and Methods.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-90-481-9482-7

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...

Table of Contents:

• 1. Introduction
• 2. Persistence models
• 3. Bootstrap confidence intervals
• 4. Regression
• 5. Spectral analysis
• 6. Extreme value time series
• 7. Correlation
• 8. Regression
• 9. Future directions.