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Climate Time Series Analysis : Classical Statistical and Bootstrap Methods
by Manfred Mudelsee


Overview -

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.  Read more...


 
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More About Climate Time Series Analysis by Manfred Mudelsee
 
 
 
Overview

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.


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Details
  • ISBN-13: 9789048194810
  • ISBN-10: 9048194814
  • Publisher: Springer
  • Publish Date: August 2010
  • Page Count: 474

Series: Atmospheric and Oceanographic Sciences Library #18

Related Categories

Books > Science > Environmental Science
Books > Science > Earth Sciences - Geology
Books > Mathematics > Probability & Statistics - General

 
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