Adrian Pizzinga

(Author)

Restricted Kalman Filtering: Theory, Methods, and ApplicationPaperback, 24 July 2012

Restricted Kalman Filtering: Theory, Methods, and Application
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Part of Series
Springerbriefs in Statistics
Part of Series
Springer Briefs in Statistics
Print Length
62 pages
Language
English
Publisher
Springer
Date Published
24 Jul 2012
ISBN-10
1461447372
ISBN-13
9781461447375

Description

​​​​​​​​​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).

Product Details

Author:
Adrian Pizzinga
Book Format:
Paperback
Country of Origin:
NL
Date Published:
24 July 2012
Dimensions:
23.39 x 15.6 x 0.38 cm
Genre:
Science/Technology Aspects
ISBN-10:
1461447372
ISBN-13:
9781461447375
Language:
English
Location:
New York, NY
Pages:
62
Publisher:
Weight:
113.4 gm

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