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.
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Vendeur : Pigeonhouse Books, Dublin, Dublin, IE, Irlande
No binding. Etat : Very Good. Author: Masanao Aoki Edition: Softcover reprint of the original 1st ed. 1987 Number Of Pages: 328 Publisher: Springer Verlag Release Date: 01-01-1987 EAN: 9783540172574 Package Dimensions: 9.3 x 6.1 x 0.7 inches Item Condition: UsedVeryGood ISBN-13: 9783540172574 ISBN-10: 3540172572. N° de réf. du vendeur GEG-2HR-6IS
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Vendeur : Anybook.com, Lincoln, Royaume-Uni
Etat : Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. Clean from markings. In fair condition, suitable as a study copy. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,750grams, ISBN:3540172572. N° de réf. du vendeur 7060857
Quantité disponible : 1 disponible(s)