Climate time series analysis : classical statistical and bootstrap methods /

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Bibliographic Details
Author / Creator:Mudelsee, Manfred.
Imprint:Dordrecht ; New York : Springer, c2010.
Description:1 online resource (xxxiv, 474 p.) : ill.
Language:English
Series:Atmospheric and oceanographic sciences library ; v. 42
Atmospheric and oceanographic sciences library ; v. 42.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/8895419
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ISBN:9789048194827 (electronic bk.)
9048194822 (electronic bk.)
9789048194810 (print)
9048194814 (print)
Notes:Includes bibliographical references (p. 397-453) and indexes.
Also available in print.
Description based on print version record.
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.
Other form:Print version: Mudelsee, Manfred. Climate time series analysis. Dordrecht ; New York : Springer, c2010 9789048194810