The book presents a statistical theory for a class of nonlinear time-series models. It will be of interest to econometricians and statisticians.
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Andrew Harvey is Professor of Econometrics at the University of Cambridge and a Fellow of Corpus Christi College. He is a Fellow of the Econometric Society and of the British Academy. He has published more than one hundred articles in journals and edited volumes and is the author of three books, The Econometric Analysis of Time Series, Time Series Models, and Forecasting and Structural Time Series Models and the Kalman Filter (Cambridge University Press, 1989). He is one of the developers of the STAMP computer package.
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Destinos, gastos y plazos de envíoLibrería: ThriftBooks-Atlanta, AUSTELL, GA, Estados Unidos de America
Paperback. Condición: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 0.9. Nº de ref. del artículo: G1107630029I3N00
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Librería: bmyguest books, Toronto, ON, Canada
Soft cover. Condición: Very Good. In Very Good Condition. 261 Pages With The Index. Paperback. Used Book. No Remarks Or Highlights Inside.books are NOT signed. 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. Nº de ref. del artículo: A19044a
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Condición: Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. 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,500grams, ISBN:9781107630024. Nº de ref. del artículo: 4121629
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Librería: Anybook.com, Lincoln, Reino Unido
Condición: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. 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,500grams, ISBN:9781107630024. Nº de ref. del artículo: 4928741
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Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
Paperback or Softback. Condición: New. Dynamic Models for Volatility and Heavy Tails: With Applications to Financial and Economic Time Series 0.9. Book. Nº de ref. del artículo: BBS-9781107630024
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Condición: New. SUPER FAST SHIPPING. Nº de ref. del artículo: 9781107630024
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Librería: Grand Eagle Retail, Mason, OH, Estados Unidos de America
Paperback. Condición: new. Paperback. The volatility of financial returns changes over time and, for the last thirty years, Generalized Autoregressive Conditional Heteroscedasticity (GARCH) models have provided the principal means of analyzing, modeling and monitoring such changes. Taking into account that financial returns typically exhibit heavy tails - that is, extreme values can occur from time to time - Andrew Harvey's new book shows how a small but radical change in the way GARCH models are formulated leads to a resolution of many of the theoretical problems inherent in the statistical theory. The approach can also be applied to other aspects of volatility. The more general class of Dynamic Conditional Score models extends to robust modeling of outliers in the levels of time series and to the treatment of time-varying relationships. The statistical theory draws on basic principles of maximum likelihood estimation and, by doing so, leads to an elegant and unified treatment of nonlinear time-series modeling. This book presents a statistical theory for a class of nonlinear time-series models. It has particular relevance for the modeling of volatility in financial time series but the overall approach will be of interest to econometricians and statisticians in a variety of disciplines. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9781107630024
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Paperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 490. Nº de ref. del artículo: C9781107630024
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Librería: Books Puddle, New York, NY, Estados Unidos de America
Condición: New. pp. 280. Nº de ref. del artículo: 2645367012
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