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Forecasting and Analytics with the Augmented Dynamic Adaptive Model (ADAM) - Tapa dura

Svetunkov, Ivan

 
9781032590370: Forecasting and Analytics with the Augmented Dynamic Adaptive Model (ADAM)
Tapa dura
ISBN 10: 1032590378 ISBN 13: 9781032590370
Editorial: Chapman and Hall/CRC, 2023

Sinopsis

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.

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Acerca del autor

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.

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Editorial
Chapman and Hall/CRC
Año de publicación
2023
Idioma
Inglés
ISBN 10 
1032590378
ISBN 13 
9781032590370
Encuadernación
Tapa dura
Número de edición
1
Número de páginas
494
Contacto del fabricante
Taylor and Francis, GPSR Taylor and Francis
gpsr@taylorandfrancis.com

Taylor & Francis Verlag GmbH, Kaufingerstraße 24
München
80331
Alemania