Climate Time Series Analysis Classical Statistical and Bootstrap Methods /

• Main Author: Mudelsee, Manfred (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2014.
• Edition: 2nd ed. 2014.
• Series: Atmospheric and Oceanographic Sciences Library, 51
• Subjects: Earth sciences.; Climatology.; Physical geography.; Statistics.; Earth Sciences.; Earth System Sciences.; Statistical Theory and 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...

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.