Time Series Analysis by State Space Methods (Oxford Statistical Science Series) - Hardcover

Durbin, James; Koopman, Siem Jan

Hardcover

ISBN 10: 0198523548 ISBN 13: 9780198523543

Publisher: Oxford Univ Pr, 2001

Synopsis

This excellent text provides a comprehensive treatment of the state space approach to time series analysis. The distinguishing feature of state space time series models is that observations are regarded as made up of distinct components such as trend, seasonal, regression elements and
disturbence terms, each of which is modelled separately. The techniques that emerge from this approach are very flexible and are capable of handling a much wider range of problems than the main analytical system currently in use for time series analysis, the Box-Jenkins ARIMA system. The book
provides an excellent source for the development of practical courses on time series analysis.

About this title

About the Author

James Durbin is at London School of Economics and Political Science. Siem Jan Koopman is at Department of Econometrics, Free University, Amsterdam, The Netherlands.

Review

... provides an up-to-date exposition and comprehensive treatment of state space models in time series analysis. Journal of the Royal Statistical Society This book will be helpful to graduate students and applied statisticians working in the area of econometric modelling as well as researchers in the areas of engineering, medicine and biology where state space models are used. Journal of the Royal Statistical Society ... a good mixture of theory and practical applications ... graduate and research students will definitely enjoy this book. Also practitioners will find the book quite useful. I would also recommend it for library purchase. Journal of the Royal Statistical Society

Edition details

• Publisher: Oxford Univ Pr
• Publication date: 2001
• ISBN 10: 0198523548
• ISBN 13: 9780198523543
• Binding: Hardcover
• Language: English
• Edition number: 1
• Number of pages: 253