Climate time series analysis : classical statistical and bootstrap methods / Manfred Mudelsee.
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...
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Main Author: | |
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Format: | Ebook |
Language: | English |
Published: |
Dordrecht ; New York :
Springer,
[2010]
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Series: | Atmospheric and oceanographic sciences library ;
v. 42. |
Subjects: | |
Online Access: | Springer eBooks |
Summary: | 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. |
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Physical Description: | 1 online resource (xxxiv, 474 pages) : illustrations. |
Bibliography: | Includes bibliographical references and index. |
ISBN: | 9048194814 9789048194810 |