Time Series Modelling in Earth Sciences (PDF)
(Sprache: Englisch)
Including the latest theories and applications of time series modelling, this book is intended for students, faculties and professionals with a background in multivariate statistics.
Highlighting linear methods to yield ARIMA, SARIMA models and their...
Highlighting linear methods to yield ARIMA, SARIMA models and their...
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Including the latest theories and applications of time series modelling, this book is intended for students, faculties and professionals with a background in multivariate statistics.
Highlighting linear methods to yield ARIMA, SARIMA models and their multivariate (vector) extensions, the text also draws attention to non-linear methods, as well as state-space, dynamic linear, wavelet, volatility and long memory models. Also included are several solved case studies and exercises from the fields of mining, ore genesis, earthquakes, and climatology.
Highlighting linear methods to yield ARIMA, SARIMA models and their multivariate (vector) extensions, the text also draws attention to non-linear methods, as well as state-space, dynamic linear, wavelet, volatility and long memory models. Also included are several solved case studies and exercises from the fields of mining, ore genesis, earthquakes, and climatology.
Autoren-Porträt von B. K. Sahu
B.K. Sahu Department of Earth Sciences, IIT Bombay, Mumbai, India
Bibliographische Angaben
- Autor: B. K. Sahu
- 2021, 1. Auflage, 294 Seiten, Englisch
- Verlag: Taylor & Francis
- ISBN-10: 1000443825
- ISBN-13: 9781000443820
- Erscheinungsdatum: 30.06.2021
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 24 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
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