ENGLISH

Time Series Analysis in Climatology and Related Sciences

By Victor Privalsky

Book information

Publisher
Springer International Publishing;Springer
Year
2021
ISBN
9783030580544, 9783030580551
DOI
10.1007/978-3-030-58055-1
Language
english
Format
PDF
Filesize
10 MB (10748230 bytes)
Series
Progress in Geophysics
Edition
1st ed.
Pages
XIV, 245\253
Time added
2021-01-06 05:41:07
Chemistry and Earth Sciences; ClimateComputer ScienceEarth Sciences; Geophysics/Geodesy; Statistics forgeneralPhysics

Description

This book gives the reader the basic knowledge of the theory of random processes necessary for applying to study climatic time series. It contains many examples in different areas of time series analysis such as autoregressive modelling and spectral analysis, linear extrapolation, simulation, causality, relations between scalar components of multivariate time series, and reconstructions of climate data. As an important feature, the book contains many practical examples and recommendations about how to deal and how not to deal with applied problems of time series analysis in climatology or any other science where the time series are short.

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