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Image of Climate Time Series Analysis : Classical Statistical and Bootstrap Methods

Electronic Resource

Climate Time Series Analysis : Classical Statistical and Bootstrap Methods

Mudelsee, Manfred - Personal Name;

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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.

“….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)


Availability
Inventory Code Barcode Call Number Location Status
14080100157EB0000172551 MUD cCentral LibraryAvailable
Detail Information
Series Title
-
Call Number
551 MUD c
Publisher
Switzerland : Springer Cham., 2014
Collation
xxxii, 454 hlm
Language
English
ISBN/ISSN
978-3-319-04450-7
Classification
551
Content Type
Text
Media Type
computer
Carrier Type
online resource
Edition
2
Subject(s)
iklim
Climate
Specific Detail Info
-
Statement of Responsibility
-
Other version/related

No other version available

File Attachment
  • Climate Time Series Analysis
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