Climate Time Series Analysis

Classical Statistical and Bootstrap Methods de

Éditeur :

Springer


Collection :

Atmospheric and Oceanographic Sciences Library

Paru le : 2010-08-26

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Description
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.
Pages
474 pages
Collection
Atmospheric and Oceanographic Sciences Library
Parution
2010-08-26
Marque
Springer
EAN papier
9789048194810
EAN EPUB
9789048194827

Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
47
Taille du fichier
5652 Ko
Prix
168,79 €