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Climate Time Series Analysis: Classical Statistical and Bootstrap Methods

Climate Time Series Analysis: Classical Statistical and Bootstrap Methods
 

Written for climatologists and applied statisticians, this book explains the bootstrap algorithms (including novel adaptions) and methods for confidence interval construction. The accuracy of the algorithms is tested by means of Monte Carlo experiments.

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ISBN 9783319374482
Barcode 9783319374482
Published 17 September 2016 by Springer International Publish
Format Paperback, Softcover reprint of the original 2nd ed. 2014
Alternate Format(s) View All (3 other possible title(s) available)
Author(s) By Mudelsee, Manfred
Series Atmospheric and Oceanographic Sciences Library (part: 51)
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Full details for this title

ISBN-13 9783319374482
ISBN-10 3319374486
Stock Available
Status Internationally sourced; ships 6-12 working days
Publisher Springer International Publish
Imprint Springer International Publishing AG
Publication Date 17 September 2016
Publication Country Switzerland Switzerland
Format Paperback, Softcover reprint of the original 2nd ed. 2014
Edition Softcover reprint of the original 2nd ed. 2014th
Author(s) By Mudelsee, Manfred
Series Atmospheric and Oceanographic Sciences Library (part: 51)
Category Probability & Statistics
Geology & The Lithosphere
Meteorology
Number of Pages 454
Dimensions Width: 155mm
Height: 235mm
Spine: 25mm
Weight 7,314g
Interest Age General Audience
Reading Age General Audience
Library of Congress Earth sciences, Mathematical statistics
NBS Text Earth Sciences
ONIX Text Professional and scholarly
Dewey Code 551.6
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. ...comprehensive mathematical and statistical summary of time-series analysis techniques geared towards climate applications...accessible 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 uncertainty...a 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)

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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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