
An Introduction to State Space Time Series Analysis
$102.72
- Hardcover
192 pages
- Release Date
19 July 2007
Summary
Unveiling Time’s Secrets: A Practical Guide to State Space Time Series Analysis
Providing a practical introduction to state space methods as applied to unobserved components time series models, also known as structural time series models, this book introduces time series analysis using state space methodology to readers who are neither familiar with time series analysis, nor with state space methods. The only background required in order to understand the material presented in the b…
Book Details
ISBN-13: | 9780199228874 |
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ISBN-10: | 0199228876 |
Series: | Practical Econometrics |
Author: | Siem Jan Koopman, Jacques J.F. Commandeur |
Publisher: | Oxford University Press |
Imprint: | Oxford University Press |
Format: | Hardcover |
Number of Pages: | 192 |
Release Date: | 19 July 2007 |
Weight: | 433g |
Dimensions: | 241mm x 165mm x 15mm |
What They're Saying
Critics Review
I really recommend this book. It is a very good read and it is very reasonably priced.
I really recommend this book. It is a very good read and it is very reasonably priced. Paul Eilers, The Newsletter of the Dutch Classification Society
About The Author
Siem Jan Koopman
Jacques J.F. Commandeur is Senior Researcher at the SWOV Institute for Road Safety Research, Leidschendam, The Netherlands. His Ph.D. is from the Department of Psychometrics and Research Methodology of Leiden University. Between 1991 and 2000 he did research for the Department of Data Theory and the Department of Educational Sciences at Leiden University in the fields of multidimensional scaling and nonlinear multivariate data analysis. Since 2000 he has been at SWOV researching the statistical and methodological aspects of road safety research in general, and time series analysis of developments in road safety in particular. His research interests are Procrustes analysis; Multidimensional scaling; Distance-based multivariate analysis; Statistical analysis of time series; Forecasting. He has published in international journals in psychometrics and chemometrics.
Siem Jan Koopman is Professor of Econometrics at the Free University Amsterdam and the Tinbergen Institute. His Ph.D. is from the London School of Economics (LSE) and he has held positions at the LSE between 1992 and 1997 and at the CentER (Tilburg University) between 1997 and 1999. In 2002 he visited the US Bureau of the Census in Washington DC as an ASA / NSF / US Census / BLS Research Fellow. His research interests are Statistical analysis of time series; Theoretical and applied time series econometrics; Financial econometrics; Simulation methods; Kalman filtering and smoothing; Forecasting. He has published in many international journals in statistics and econometrics.
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