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Time Series Analysis by State Space Methods: Second Edition. - Couverture rigide

Livre 7 sur 8: Oxford Statistical Science

Durbin, The Late James; Koopman, Siem Jan

 
9780199641178: Time Series Analysis by State Space Methods: Second Edition.
Couverture rigide
ISBN 10 : 019964117X ISBN 13 : 9780199641178
Editeur : Oxford University Press, 2012

Synopsis

This new edition updates Durbin & Koopman's important text on the state space approach to time series analysis. The distinguishing feature of state space time series models is that observations are regarded as made up of distinct components such as trend, seasonal, regression elements and disturbance terms, each of which is modelled separately. The techniques that emerge from this approach are very flexible and are capable of handling a much wider range of problems than the main analytical system currently in use for time series analysis, the Box-Jenkins ARIMA system. Additions to this second edition include the filtering of nonlinear and non-Gaussian series.

Part I of the book obtains the mean and variance of the state, of a variable intended to measure the effect of an interaction and of regression coefficients, in terms of the observations.

Part II extends the treatment to nonlinear and non-normal models. For these, analytical solutions are not available so methods are based on simulation.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l'auteur

The late James Durbin was Professor of Statistics at the London School of Economics, President of the Royal Statistical Society and President of the International Statistical Institute. He was awarded the society's bronze, silver and gold medals for his contribution to statistics. He was a fellow of the British Academy.

Siem Jan Koopman has been Professor of Econometrics at the Free University in Amsterdam and research fellow at the Tinbergen Institute since 1999. He fullfills editorial duties at the Journal of Applied Econometrics, the Journal of Forecasting, the Journal of Multivariate Analysis and Statistica Sinica.




Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Oxford University Press
Date d'édition
2012
Langue
anglais
ISBN 10 
019964117X
ISBN 13 
9780199641178
Reliure
Relié
Numéro d'édition
2
Nombre de pages
368
Coordonnées du fabricant
non disponible
Personne responsable
Ufficio Anagrafiche Messaggerie
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