Ebook: Time Series Analysis in Climatology and Related Sciences
Author: Victor Privalsky
- Tags: Earth Sciences, Geophysics/Geodesy, Statistics for Engineering Physics Computer Science Chemistry and Earth Sciences, Climate general
- Series: Progress in Geophysics
- Year: 2021
- Publisher: Springer International Publishing
- Edition: 1st ed.
- Language: English
- pdf
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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