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Time Series Analysis in Climatology and Related Sciences
Description
(Progress in Geophysics) 1st ed. 2021 Edition
by Victor Privalsky (Author)
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.
Details
Year:
2021
Pages:
253
Language:
English
Format:
PDF
Size:
7 MB
ISBN-10:
3030580547
ISBN-13:
978-3030580544
ASIN:
B08P1DX76L
