Restricted Kalman Filtering: Theory, Methods, and Application

Adrian Pizzinga

ISBN 10: 1461447372 / ISBN 13: 9781461447375

Verlag: Springer-Verlag New York Inc., 2012

This item is printed on demand. New copy - Usually dispatched within 5-9 working days 145. Bestandsnummer des Verkäufers C9781461447375

Inhaltsangabe:

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).

Über die Autorin bzw. den Autor: Adrian Pizzinga, Department of Statistics, Institute of Mathematics and Statistics, Fluminense Federal University (UFF) Rio de Janeiro, Brazil

Bibliografische Details

Titel: Restricted Kalman Filtering: Theory, Methods...
Verlag: Springer-Verlag New York Inc.
Erscheinungsdatum: 2012
Einband: Paperback / softback
Zustand: New