In this book, Andrew Harvey sets out to provide a unified and comprehensive theory of structural time series models. Unlike the traditional ARIMA models, structural time series models consist explicitly of unobserved components, such as trends and seasonals, which have a direct interpretation. As a result the model selection methodology associated with structural models is much closer to econometric methodology. The link with econometrics is made even closer by the natural way in which the models can be extended to include explanatory variables and to cope with multivariate time series. From the technical point of view, state space models and the Kalman filter play a key role in the statistical treatment of structural time series models. The book includes a detailed treatment of the Kalman filter. This technique was originally developed in control engineering, but is becoming increasingly important in fields such as economics and operations research. This book is concerned primarily with modelling economic and social time series, and with addressing the special problems which the treatment of such series poses. The properties of the models and the methodological techniques used to select them are illustrated with various applications. These range from the modellling of trends and cycles in US macroeconomic time series to to an evaluation of the effects of seat belt legislation in the UK.
"Sinopsis" puede pertenecer a otra edición de este libro.
Charlotte y Peter Fiell son dos autoridades en historia, teoría y crítica del diseño y han escrito más de sesenta libros sobre la materia, muchos de los cuales se han convertido en éxitos de ventas. También han impartido conferencias y cursos como profesores invitados, han comisariado exposiciones y asesorado a fabricantes, museos, salas de subastas y grandes coleccionistas privados de todo el mundo. Los Fiell han escrito numerosos libros para TASCHEN, entre los que se incluyen 1000 Chairs, Diseño del siglo XX, El diseño industrial de la A a la Z, Scandinavian Design y Diseño del siglo XXI.
"Sobre este título" puede pertenecer a otra edición de este libro.
Librería: HPB-Red, Dallas, TX, Estados Unidos de America
Paperback. Condición: 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! Nº de ref. del artículo: S_408472510
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Librería: The Chatham Bookseller, Madison, NJ, Estados Unidos de America
Soft cover. Condición: Very good+. Estado de la sobrecubierta: No Dj as Issued. Fourth Printing. 554 pp. Blue wraps with white text have some wear/bending to the corners and along the edges but otherwise show no signs of previous use. Size: Octavo. Book. Nº de ref. del artículo: 030536
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Librería: Affordable Collectibles, Columbia, MO, Estados Unidos de America
Paperback. Condición: Good. I found only 1 highlight. Otherwise very good or better with minimal signs of use. Nº de ref. del artículo: 20070141
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Librería: Textbookplaza, Sugar land, TX, Estados Unidos de America
Paperback. Condición: As New. Like New and in great condition with no missing or damaged pages. Need it urgently? Upgrade to Expedited. In stock and we ship daily on weekdays & Saturdays. Nº de ref. del artículo: F72103
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Condición: As New. Unread book in perfect condition. Nº de ref. del artículo: 696228
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Condición: New. Nº de ref. del artículo: 696228-n
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Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
Paperback or Softback. Condición: New. Forecasting, Structural Time Series Models and the Kalman Filter. Book. Nº de ref. del artículo: BBS-9780521405737
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Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
Paperback. Condición: new. Paperback. This book provides a synthesis of concepts and materials that ordinarily appear separately in time series and econometrics literature, presenting a comprehensive review of both theoretical and applied concepts. Perhaps the most novel feature of the book is its use of Kalman filtering together with econometric and time series methodology. From a technical point of view, state space models and the Kalman filter play a key role in the statistical treatment of structural time series models. This technique was originally developed in control engineering but is becoming increasingly important in economics and operations research. The book is primarily concerned with modeling economic and social time series and with addressing the special problems that the treatment of such series pose. This book is concerned with modelling economic and social time series and with addressing the special problems which the treatment of such series pose. It is unique in its use of Kalman filtering with econometric and time series modelling. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9780521405737
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Librería: J. Wyatt Books, Ottawa, ON, Canada
Soft cover. Condición: VG+. 554 pages in very good, clean condition. Blue softcovers with white titles. Very light wear on corners and edges. VG+. Book. Nº de ref. del artículo: 214779
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