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This book provides a synthesis of concepts and materials that ordinarily appear separately in time series and econometrics literature, presenting a comprehensive review of both theoretical and applied concepts. Perhaps the most novel feature of the book is its use of Kalman filtering together with econometric and time series methodology. From a technical point of view, state space models and the Kalman filter play a key role in the statistical treatment of structural time series models. This technique was originally developed in control engineering but is becoming increasingly important in economics and operations research. The book is primarily concerned with modeling economic and social time series and with addressing the special problems that the treatment of such series pose.
Increasingly important area of research
Rigorous treatment of theory and applications
Unique in its use of Kalman filtering for economic analysis
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Previews available in: English
Edition | Availability |
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1
Forecasting, structural time series models, and the Kalman filter
1996, Cambridge University Press
Paperback
in English
- 1st paperback edition, reprint
0521405734 9780521405737
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2
Forecasting, structural time series models, and the Kalman filter
1990, Cambridge University Press
in English
0521405734 9780521405737
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3
Forecasting, structural time series models and the Kalman filter
1989, Cambridge University Press
in English
0521321964 9780521321969
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Book Details
Edition Notes
Includes bibliographical references (p. 529-542) and indexes.
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- Created April 1, 2008
- 9 revisions
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December 7, 2022 | Edited by ImportBot | import existing book |
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April 1, 2008 | Created by an anonymous user | Imported from Scriblio MARC record |