Format:
Online-Ressource (XXXII, 454 p. 103 illus, online resource)
Edition:
2nd ed. 2014
ISBN:
9783319044507
Series Statement:
Atmospheric and Oceanographic Sciences Library 51
Content:
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)
Note:
Description based upon print version of record
,
Part I: Fundamental Concepts1 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.
Additional Edition:
ISBN 9783319044491
Additional Edition:
Druckausg. Mudelsee, Manfred Climate time series analysis Cham : Springer, 2014 ISBN 9783319044491
Additional Edition:
ISBN 9783319374482
Language:
English
Subjects:
Economics
,
Physics
,
Geography
Keywords:
Klimaanalyse
;
Bootstrap-Statistik
;
Klimatologie
;
Klima
;
Datenanalyse
;
Statistik
;
Zeitreihenanalyse
;
Methode
DOI:
10.1007/978-3-319-04450-7
URL:
Volltext
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