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Restricted Kalman Filtering: Theory, Methods, and Application: 12 (SpringerBriefs in Statistics) - Tapa blanda
Sinopsis
In statistics, the Kalman filter is a mathematical method whose purpose is to use a series of measurements observed over time, containing random variations and other inaccuracies, and produce estimates that tend to be closer to the true unknown values than those that would be based on a single measurement alone. This Brief offers developments on Kalman filtering subject to general linear constraints. There are essentially three types of contributions: new proofs for results already established; new results within the subject; and applications in investment analysis and macroeconomics, where the proposed methods are illustrated and evaluated. The Brief has a short chapter on linear state space models and the Kalman filter, aiming to make the book self-contained and to give a quick reference to the reader (notation and terminology). The prerequisites would be a contact with time series analysis in the level of Hamilton (1994) or Brockwell & Davis (2002) and also with linear state models and the Kalman filter? each of these books has a chapter entirely dedicated to the subject. The book is intended for graduate students, researchers and practitioners in statistics (specifically: time series analysis and econometrics).
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Acerca del autor
Adrian Pizzinga, Department of Statistics, Institute of Mathematics and Statistics, Fluminense Federal University (UFF) Rio de Janeiro, Brazil
"Sobre este título" puede pertenecer a otra edición de este libro.
- EditorialSpringer
- Año de publicación2012
- ISBN 10 1461447372
- ISBN 13 9781461447375
- EncuadernaciónTapa blanda
- IdiomaInglés
- Número de páginas72
- Contacto del fabricanteno disponible
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Restricted Kalman Filtering: Theory, Methods, and Application (SpringerBriefs in Statistics, 12)
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Restricted Kalman Filtering
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Springer New York Jul 2012, 2012
ISBN 10: 1461447372
ISBN 13: 9781461447375
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In statistics, the Kalman filter is a mathematical method whose purpose is to use a series of measurements observed over time, containing random variations and other inaccuracies, and produce estimates that tend to be closer to the true unknown values than those that would be based on a single measurement alone. This Brief offers developments on Kalman filtering subject to general linear constraints. There are essentially three types of contributions: new proofs for results already established; new results within the subject; and applications in investment analysis and macroeconomics, where the proposed methods are illustrated and evaluated. The Brief has a short chapter on linear state space models and the Kalman filter, aiming to make the book self-contained and to give a quick reference to the reader (notation and terminology). The prerequisites would be a contact with time series analysis in the level of Hamilton (1994) or Brockwell & Davis (2002) and also with linear state models and the Kalman filter - each of these books has a chapter entirely dedicated to the subject. The book is intended for graduate students, researchers and practitioners in statistics (specifically: time series analysis and econometrics). 72 pp. Englisch. Nº de ref. del artículo: 9781461447375
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Restricted Kalman Filtering : Theory, Methods, and Application
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Restricted Kalman Filtering : Theory, Methods, and Application
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - In statistics, the Kalman filter is a mathematical method whose purpose is to use a series of measurements observed over time, containing random variations and other inaccuracies, and produce estimates that tend to be closer to the true unknown values than those that would be based on a single measurement alone. This Brief offers developments on Kalman filtering subject to general linear constraints. There are essentially three types of contributions: new proofs for results already established; new results within the subject; and applications in investment analysis and macroeconomics, where the proposed methods are illustrated and evaluated. The Brief has a short chapter on linear state space models and the Kalman filter, aiming to make the book self-contained and to give a quick reference to the reader (notation and terminology). The prerequisites would be a contact with time series analysis in the level of Hamilton (1994) or Brockwell & Davis (2002) and also with linear state models and the Kalman filter - each of these books has a chapter entirely dedicated to the subject. The book is intended for graduate students, researchers and practitioners in statistics (specifically: time series analysis and econometrics). Nº de ref. del artículo: 9781461447375
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Restricted Kalman Filtering
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Restricted Kalman Filtering: Theory, Methods, and Application
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Springer-Verlag New York Inc., 2012
ISBN 10: 1461447372
ISBN 13: 9781461447375
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Restricted Kalman Filtering : Theory, Methods, and Application
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Restricted Kalman Filtering: Theory, Methods, and Application
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Paperback. Condición: Brand New. 2012 edition. 72 pages. 9.25x6.10x0.17 inches. In Stock. Nº de ref. del artículo: x-1461447372
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Restricted Kalman Filtering
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Restricted Kalman Filtering
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