Models for Dependent Time Series (Chapman & Hall/CRC Monographs on Statistics and Applied Probability) - Tapa blanda

Tunnicliffe Wilson, Granville

 
9780367570521: Models for Dependent Time Series (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
Tapa blanda
ISBN 10: 0367570521 ISBN 13: 9780367570521
Editorial: Routledge, 2020

Sinopsis

This book addresses the issues that arise and the methodology that can be applied when the dependence between time series is described and modeled. It shows how to draw meaningful, applicable, and statistically valid conclusions from multivariate (or vector) time series data. The book presents several extensions to the standard autoregressive mo

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Acerca del autor

Granville Tunnicliffe Wilson is a reader emeritus in the Department of Mathematics and Statistics at Lancaster University, UK. His research focuses on methodology and software for time series modeling and prediction.

Marco Reale is an associate professor in the School of Mathematics and Statistics at the University of Canterbury, New Zealand. His research interests include time series analysis, statistical learning, and stochastic optimization.

John Haywood is a senior lecturer in the School of Mathematics and Statistics at Victoria University of Wellington, New Zealand. His research interests include time series analysis, seasonal modeling, and statistical applications, particularly in ecology.

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Editorial
Routledge
Año de publicación
2020
Idioma
Inglés
ISBN 10 
0367570521
ISBN 13 
9780367570521
Encuadernación
Tapa blanda
Número de edición
1
Número de páginas
340
Contacto del fabricante
no disponible
Persona responsable
no disponible

Otras ediciones populares con el mismo título

9781584886501: Models for Dependent Time Series (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Edición Destacada

ISBN 10:  1584886501 ISBN 13:  9781584886501
Editorial: Chapman and Hall/CRC, 2015
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