Pizzinga, Adrian
Restricted Kalman Filtering: Theory, Methods, and Application (SpringerBriefs in Statistics)
- ISBN 13:
- 9781461447375
- author:
- Pizzinga, Adrian
- format:
- Paperback
- publisher:
- Springer
- language:
- English
- Publication Year:
- 2012
- Pages:
- 72
- Dimensions:
- 23.4 x 15.6 x 0.4 centimetres (0
- Genre:
- Business
- Condition:
- New
- Availability:
- Item usually sent within 20 working days
Description
Restricted Kalman Filtering Theory, Methods, and Application by Adrian Pizzinga is a comprehensive guide to the mathematical method used in statistics to produce estimates from a series of measurements with random variations.
The book builds upon established results, providing new proofs and introducing new applications in investment analysis and macroeconomics. It also includes a brief overview of linear state space models and the Kalman filter, making it self-contained for quick reference.
Targeted at graduate students, researchers, and practitioners in statistics, this Brief offers a detailed exploration of Kalman filtering subject to general linear constraints, with prerequisites including time series analysis and linear state models.