State Space Modeling of Time Series

Language: English

Published by Springer, Springer Vieweg, 1990

3540528709 / 9783540528708

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Druck auf Anfrage Neuware - Printed after ordering - In this book, the author adopts a state space approach to time series modeling to provide a new, computer-oriented method for building models for vector-valued time series. This second edition has been completely reorganized and rewritten. Background material leading up to the two types of estimators of the state space models is collected and presented coherently in four consecutive chapters. New, fuller descriptions are given of state space models for autoregressive models commonly used in the econometric and statistical literature. Backward innovation models are newly introduced in this edition in addition to the forward innovation models, and both are used to construct instrumental variable estimators for the model matrices. Further new items in this edition include statistical properties of the two types of estimators, more details on multiplier analysis and identification of structural models using estimated models, incorporation of exogenous signals and choice of model size. A whole new chapter is devoted to modeling of integrated, nearly integrated and co-integrated time series.; In this book, the author adopts a state space approach to time series modeling to provide a new, computer-oriented method for building models for vector-valued time series. This second edition has been completely reorganized and rewritten. Background material leading up to the two types of estimators of the state space models is collected and presented coherently in four consecutive chapters. New, fuller descriptions are given of state space models for autoregressive models commonly used in the econometric and statistical literature. Backward innovation models are newly introduced in this edition in addition to the forward innovation models, and both are used to construct instrumental variable estimators for the model matrices. Further new items in this edition include statistical properties of the two types of estimators, more details on multiplier analysis and identification of structural models using estimated models, incorporation of exogenous signals and choice of model size. A whole new chapter is devoted to modeling of integrated, nearly integrated and co-integrated time series. Das vorliegende Buch liefert eine neue, computer-orientierte Methode zur Modellierung von Zeitreihen. Für die neue Auflage wurde es vollständig überarbeitet.

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Title
State Space Modeling of Time Series
Author
Masanao Aoki
Publisher
Springer, Springer Vieweg
Publication year
1990
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3540528709
ISBN 13
9783540528708
Edition
2nd Edition
Item weight
597 grams
Dimensions
242x170x19 mm

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