Time series analysis ain climatology and related sciences /

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Bibliographic Details
Author / Creator:Privalʹskiĭ, V. E. (Viktor Evseevich)
Imprint:Cham : Birkhäuser, 2021.
Description:1 online resource
Language:English
Series:Progress in geophysics, 2523-8388
Progress in geophysics,
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12609153
Hidden Bibliographic Details
ISBN:9783030580551
3030580555
3030580547
9783030580544
Digital file characteristics:text file
PDF
Notes:Includes bibliographical references.
Online resource; title from PDF title page (SpringerLink, viewed February 9, 2021).
Summary: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.
Other form:Original 3030580547 9783030580544
Standard no.:10.1007/978-3-030-58055-1