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Climate Time Series Analysis: Classical Statistical and Bootstrap Methods

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 metho... read full description below.

Usually ships 4-8 weeks – Internationally Sourced (on backorder)

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ISBN 9789048194810
Published 15 September 2010 by Springer
Format Hardback
Author(s) By Mudelsee, Manfred
Series Atmospheric and Oceanographic Sciences Library (part: v. 42)

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Full details for this title

ISBN-13 9789048194810
ISBN-10 9048194814
Stock Available
Status Internationally sourced (on backorder); allow 4-8 weeks
Publisher Springer
Imprint Springer
Publication Date 15 September 2010
Publication Country Netherlands Netherlands
Format Hardback
Author(s) By Mudelsee, Manfred
Series Atmospheric and Oceanographic Sciences Library (part: v. 42)
Category Probability & Statistics
Global Warming
Interest Age All ages
Reading Age All ages
Library of Congress Environmental sciences, Mathematical statistics, Climatic changes
NBS Text Environment & Planning
ONIX Text Professional and scholarly
Number of Pages 508
Dimensions Width: 156mm
Height: 234mm
Spine: 28mm
Weight 1,960g
Dewey Code 551.60287
Catalogue Code Not specified

Description of this Book

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. This makes the book self-contained for graduate students and researchers.

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Author's Bio

Manfred Mudelsee received his diploma in Physics from the University of Heidelberg and his doctoral degree in Geology from the University of Kiel. He was then postdoc in Statistics at the University of Kent at Canterbury, research scientist in Meteorology at the University of Leipzig and visiting scholar in Earth Sciences at Boston University; currently he does climate research at the Alfred Wegener Institute for Polar and Marine Research, Bremerhaven. His science focuses on climate extremes, time series analysis and mathematical simulation methods. He has authored over 50 peer-reviewed articles. In his 2003 Nature paper, Mudelsee introduced the bootstrap method to flood risk analysis. In 2005, he founded the company Climate Risk Analysis.

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