An Introduction to State Space Time Series Analysis, 9780199228874
Hardcover
Unlock time series secrets: trend, seasonality, forecasting, with state space.

An Introduction to State Space Time Series Analysis

$102.72

  • Hardcover

    192 pages

  • Release Date

    19 July 2007

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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
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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