Restricted Kalman Filtering : Theory, Methods, and Application

Language: English

Published by Springer, Copernicus, 2012

1461447372 / 9781461447375

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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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).

Seller Inventory # 9781461447375

Title
Restricted Kalman Filtering : Theory, Methods, and Application
Author
Adrian Pizzinga
Publisher
Springer, Copernicus
Publication year
2012
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
1461447372
ISBN 13
9781461447375
Item weight
125 grams
Dimensions
235x155x5 mm

AHA-BUCH GmbH

Einbeck, Germany

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