Time Series Analysis in Climatology and Related Sciences / Progress in Geophysics (PDF)
(Sprache: Englisch)
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...
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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.
Bibliographische Angaben
- Autor: Victor Privalsky
- 2020, 1st ed. 2021, 245 Seiten, Englisch
- Verlag: Springer International Publishing
- ISBN-10: 3030580555
- ISBN-13: 9783030580551
- Erscheinungsdatum: 22.11.2020
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 10 MB
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- Vorlesefunktion
Sprache:
Englisch
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