This excellent text provides a comprehensive treatment of 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 disturbence 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. The book provides an excellent source for the development of practical courses on time series analysis.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
... provides an up-to-date exposition and comprehensive treatment of state space models in time series analysis. (Journal of the Royal Statistical Society)
This book will be helpful to graduate students and applied statisticians working in the area of econometric modelling as well as researchers in the areas of engineering, medicine and biology where state space models are used. (Journal of the Royal Statistical Society)
... a good mixture of theory and practical applications ... graduate and research students will definitely enjoy this book. Also practitioners will find the book quite useful. I would also recommend it for library purchase. (Journal of the Royal Statistical Society)
This excellent text provides a comprehensive treatment of 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 disturbence 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. The book provides an excellent source for the development of practical courses on time series analysis.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : Better World Books, Mishawaka, IN, Etats-Unis
Etat : Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good. N° de réf. du vendeur 38771825-6
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Vendeur : The Spoken Word, Oxfordshire, Royaume-Uni
Hardcover. Etat : Very Good. No Jacket. 1st Edition. Published by Oxford University Press @ Clarendon Press in 2001, here is the first hardback printing of James Durbin and Siem Koopman's Time Series Analysis by State Space methods (Volume 24, Oxford Statistical Science Series). Glossy red/blue boards, 253 pages plus illustrations the book is in very good plus condition. N° de réf. du vendeur 15618
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Vendeur : Zoom Books East, Glendale Heights, IL, Etats-Unis
Etat : very_good. Book is in very good condition and may include minimal underlining highlighting. The book can also include "From the library of" labels. May not contain miscellaneous items toys, dvds, etc. . We offer 100% money back guarantee and 24 7 customer service. N° de réf. du vendeur ZEV.0198523548.VG
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Vendeur : HPB-Red, Dallas, TX, Etats-Unis
hardcover. Etat : Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! N° de réf. du vendeur S_455702473
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Vendeur : bmyguest books, Toronto, ON, Canada
Hardcover. Etat : Fine. 1st Edition. 253 Pages With The Index, In Fine Condition. Textbook Binding. Used Book.We will state signed at the description section. we confirm they are signed via email or stated in the description box. - Specializing in academic, collectiblle and historically significant, providing the utmost quality and customer service satisfaction. For any questions feel free to email us. N° de réf. du vendeur A9412a
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