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Climate Time Series Analysis : Classical Statistical and Bootstrap Methods - Manfred Mudelsee

Climate Time Series Analysis

Classical Statistical and Bootstrap Methods

Hardcover

Published: 17th July 2014
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  • Paperback View Product Published: 17th September 2016
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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 challenge. It shows the bootstrap to perform reliably in the most important statistical estimation techniques: regression, spectral analysis, extreme values and correlation.

This book is written for climatologists and applied statisticians. It explains step by step the bootstrap algorithms (including novel adaptions) and methods for confidence interval construction. It tests the accuracy of the algorithms by means of Monte Carlo experiments. It analyses a large array of climate time series, giving a detailed account on the data and the associated climatological questions.

".comprehensive mathematical and statistical summary of time-series analysis techniques geared towards climate applicationsaccessible to readers with knowledge of college-level calculus and statistics." (Computers and Geosciences)

"A key part of the book that separates it from other time series works is the explicit discussion of time uncertaintya very useful text for those wishing to understand how to analyse climate time series."
(Journal of Time Series Analysis)

"outstanding. One of the best books on advanced practical time series analysis I have seen." (David J. Hand, Past-President Royal Statistical Society)

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.

ISBN: 9783319044491
ISBN-10: 3319044494
Series: Atmospheric and Oceanographic Sciences Library
Audience: Professional
Format: Hardcover
Language: English
Number Of Pages: 454
Published: 17th July 2014
Publisher: Springer International Publishing AG
Country of Publication: CH
Dimensions (cm): 23.5 x 15.5  x 2.7
Weight (kg): 0.96
Edition Number: 2
Edition Type: Revised