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010   $a3-319-04450-8
024 7 $a10.1007/978-3-319-04450-7
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035   $a(DE-He213)978-3-319-04450-7
035   $a(PPN)179767100
035   $a(EXLCZ)993710000000143793
100   $a20140627d2014      u|         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aClimate Time Series Analysis $eClassical Statistical and Bootstrap Methods /$fby Manfred Mudelsee
205   $a2nd ed. 2014.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014.
215   $a1 online resource (477 p.)
225 1 $aAtmospheric and Oceanographic Sciences Library,$x2215-162X ;$v51
300   $aDescription based upon print version of record.
311 08$a1-322-13407-3 
311 08$a3-319-04449-4 
320   $aIncludes bibliographical references and indexes.
327   $aPart I: Fundamental Concepts -- 1 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.
330   $aClimate is a paradigm of a complex system. Analysing climate data is an exciting challenge, which is increased by non-normal distributional shape, serial dependence, uneven spacing and timescale uncertainties. This book presents bootstrap resampling as a computing-intensive method able to meet the challenge. It shows the bootstrap to perform reliably in the most important statistical estimation techniques: regression, spectral analysis, extreme values and correlation. This book is written for climatologists and applied statisticians. It explains step by step the bootstrap algorithms (including novel adaptions) and methods for confidence interval construction. It tests the accuracy of the algorithms by means of Monte Carlo experiments. It analyses a large array of climate time series, giving a detailed account on the data and the associated climatological questions. ??.comprehensive mathematical and statistical summary of time-series analysis techniques geared towards climate applications?accessible to readers with knowledge of college-level calculus and statistics.? (Computers and Geosciences) ?A key part of the book that separates it from other time series works is the explicit discussion of time uncertainty?a very useful text for those wishing to understand how to analyse climate time series.? (Journal of Time Series Analysis) ??outstanding. One of the best books on advanced practical time series analysis I have seen.? (David J. Hand, Past-President Royal Statistical Society).
410  0$aAtmospheric and Oceanographic Sciences Library,$x2215-162X ;$v51
606   $aPhysical geography
606   $aClimatology
606   $aStatistics
606   $aEarth System Sciences
606   $aClimate Sciences
606   $aStatistical Theory and Methods
615  0$aPhysical geography.
615  0$aClimatology.
615  0$aStatistics.
615 14$aEarth System Sciences.
615 24$aClimate Sciences.
615 24$aStatistical Theory and Methods.
676   $a551.501176
700   $aMudelsee$b Manfred$4aut$4http://id.loc.gov/vocabulary/relators/aut$0524964
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910298379503321
996   $aClimate time series analysis$9822955
997   $aUNINA