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9783540528708 - State Space Modeling of Time Series Universitext by Aoki, Masanao (7 results)
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Condition: Good. Most items will be dispatched the same or the next working day. A copy that has been read but remains in clean condition. All of the pages are intact and the cover is intact and the spine may show signs of wear. The book may have minor markings which are not specifically mentioned.
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State Space Modeling of Time Series Universitext
Seller: books4less (Versandantiquariat Petra Gros GmbH & Co. KG), Welling, Germany
Seller rating 5 out of 5 stars
Broschiert. Condition: Gut. 2. Auflage;. 322 Seiten; Das Buch ist ordentlich erhalten und kann altersbedingte Gebrauchsspuren aufweisen. Namensvermerk des Vorbesitzers im Vorsatz. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 585.
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Condition: Good. 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 good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,650grams, ISBN:3540528709.
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Condition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. Re-bound by library. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,750grams, ISBN:3540528709.
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State Space Modeling of Time Series (Universitext).
Seller: Die Wortfreunde - Antiquariat Wirthwein Matthias Wirthwein, Mannheim, Germany
Seller rating 4 out of 5 stars
323 Seiten Fast neuwertiges, ungelesenes Exemplar. Sprache: Englisch Gewicht in Gramm: 594 17,0 x 2,0 x 24,2 cm, Taschenbuch Auflage: Softcover reprint of the original 2nd ed. 1990.
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Paperback. Condition: Like New. Like New. book.
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Condition: Gut. Zustand: Gut | Seiten: 348 | Sprache: Englisch | Produktart: Bücher | 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.
