Electronic Resource

Climate Time Series Analysis : Classical Statistical and Bootstrap Methods

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Penilaian

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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)

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Availability

Inventory Code	Barcode	Call Number	Location	Status
14080100157	EB0000172	551 MUD c	Central Library	Available

Detail Information

Series Title

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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

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Statement of Responsibility

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Other version/related

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