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Climate Time Series Analysis: Classical Statistical and Bootstrap Methods - Atmospheric and Oceanographic Sciences Library 42 (Hardback)
  • Climate Time Series Analysis: Classical Statistical and Bootstrap Methods - Atmospheric and Oceanographic Sciences Library 42 (Hardback)
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Climate Time Series Analysis: Classical Statistical and Bootstrap Methods - Atmospheric and Oceanographic Sciences Library 42 (Hardback)

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£180.00
Hardback 508 Pages / Published: 01/09/2010
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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. This makes the book self-contained for graduate students and researchers.

Publisher: Springer
ISBN: 9789048194810
Number of pages: 508
Weight: 1960 g
Dimensions: 234 x 156 x 28 mm
Edition: 2010 ed.

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