Forecasting and Analytics with the Augmented Dynamic Adaptive Model (ADAM) (PDF)
(Sprache: Englisch)
Forecasting and Analytics with ADAM focuses on a time series model in Single Source of Error state space form, called "ADAM" (Augmented Dynamic Adaptive Model). The book demonstrates a holistic view to forecasting and time series analysis using dynamic...
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Forecasting and Analytics with ADAM focuses on a time series model in Single Source of Error state space form, called "ADAM" (Augmented Dynamic Adaptive Model). The book demonstrates a holistic view to forecasting and time series analysis using dynamic models to solve real life problems.
Autoren-Porträt von Ivan Svetunkov
Ivan Svetunkov is a Lecturer of Marketing Analytics at Lancaster University, UK and a Marketing Director of Centre for Marketing Analytics and Forecasting. He has PhD in Management Science from Lancaster University and a candidate degree in economics from Saint Petersburg State University of Economics and Finance, Russia. His areas of interests includes statistical methods of analytics and forecasting, focusing on demand forecasting in healthcare, supply chain and retail. He is a creator and a maintainer of several forecasting and analytics-related R packages, such as greybox, smooth and legion.
Bibliographische Angaben
- Autor: Ivan Svetunkov
- 2023, 1. Auflage, 494 Seiten, Englisch
- Verlag: Taylor & Francis
- ISBN-10: 1000992713
- ISBN-13: 9781000992717
- Erscheinungsdatum: 17.11.2023
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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