Sprache: Englisch
Verlag: John Wiley & Sons, Inc., New York, 2001
ISBN 10: 047136164X ISBN 13: 9780471361640
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In den WarenkorbHardback, cloth. Zustand: Good+. No Jacket. First Edition, Third Print. A Course in Time Series Analysis, edited by Daniel Pena, George C. Tiao, Ruey S. Tsay Hardback, 2001, first edition, third print, published by John Wiley & Sons, Inc., New York, xvii + 460 pages+.In good condition, close to very good. Dark blue cloth binding, some scuffing but quite clean, small signs of shelf-wear. A little marking to page edges but quite clean. Page surfaces generally clean, no inscriptions, marginalia, underlining, etc. See pictures for more information. xvii, 460 pp. n.
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Gebunden. Zustand: New. New statistical methods and future directions of research in time series A Course in Time Series Analysis demonstrates how to build time series models for univariate and multivariate time series data.Über den AutorDANIEL PE?A,.
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In den WarenkorbZustand: New. New statistical methods and future directions of research in time series A Course in Time Series Analysis demonstrates how to build time series models for univariate and multivariate time series data. Series: Wiley Series in Probability and Statistics. Num Pages: 496 pages, references, index. BIC Classification: KCHS; PBT. Category: (P) Professional & Scholarly; (UP) Postgraduate; (UU) Undergraduate. Dimension: 240 x 166 x 31. Weight in Grams: 852. . 2000. 1st Edition. Hardcover. . . . .
Buch. Zustand: Neu. A Course in Time Series Analysis | Daniel Peña (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2000 | Wiley | EAN 9780471361640 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
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In den WarenkorbHardcover. Zustand: Brand New. 1st edition. 496 pages. 9.25x6.50x1.25 inches. In Stock.
Buch. Zustand: Neu. Neuware - New statistical methods and future directions of research in time series A Course in Time Series Analysis demonstrates how to build time series models for univariate and multivariate time series data. It brings together material previously available only in the professional literature and presents a unified view of the most advanced procedures available for time series model building. The authors begin with basic concepts in univariate time series, providing an up-to-date presentation of ARIMA models, including the Kalman filter, outlier analysis, automatic methods for building ARIMA models, and signal extraction. They then move on to advanced topics, focusing on heteroscedastic models, nonlinear time series models, Bayesian time series analysis, nonparametric time series analysis, and neural networks. Multivariate time series coverage includes presentations on vector ARMA models, cointegration, and multivariate linear systems. Special features include: - Contributions from eleven of the worldâ s leading figures in time series - Shared balance between theory and application - Exercise series sets - Many real data examples - Consistent style and clear, common notation in all contributions - 60 helpful graphs and tables Requiring no previous knowledge of the subject, A Course in Time Series Analysis is an important reference and a highly useful resource for researchers and practitioners in statistics, economics, business, engineering, and environmental analysis. An Instructor's Manual presenting detailed solutions to all the problems in he book is available upon request from the Wiley editorial department.
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In den WarenkorbZustand: New. New statistical methods and future directions of research in time series A Course in Time Series Analysis demonstrates how to build time series models for univariate and multivariate time series data. Series: Wiley Series in Probability and Statistics. Num Pages: 496 pages, references, index. BIC Classification: KCHS; PBT. Category: (P) Professional & Scholarly; (UP) Postgraduate; (UU) Undergraduate. Dimension: 240 x 166 x 31. Weight in Grams: 852. . 2000. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.
Sprache: Englisch
Verlag: John Wiley & Sons Inc, New York, 2000
ISBN 10: 047136164X ISBN 13: 9780471361640
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In den WarenkorbHardcover. Zustand: new. Hardcover. New statistical methods and future directions of research in time series A Course in Time Series Analysis demonstrates how to build time series models for univariate and multivariate time series data. It brings together material previously available only in the professional literature and presents a unified view of the most advanced procedures available for time series model building. The authors begin with basic concepts in univariate time series, providing an up-to-date presentation of ARIMA models, including the Kalman filter, outlier analysis, automatic methods for building ARIMA models, and signal extraction. They then move on to advanced topics, focusing on heteroscedastic models, nonlinear time series models, Bayesian time series analysis, nonparametric time series analysis, and neural networks. Multivariate time series coverage includes presentations on vector ARMA models, cointegration, and multivariate linear systems. Special features include: Contributions from eleven of the worlda??s leading figures in time seriesShared balance between theory and applicationExercise series setsMany real data examplesConsistent style and clear, common notation in all contributions60 helpful graphs and tables Requiring no previous knowledge of the subject, A Course in Time Series Analysis is an important reference and a highly useful resource for researchers and practitioners in statistics, economics, business, engineering, and environmental analysis. An Instructor's Manual presenting detailed solutions to all the problems in he book is available upon request from the Wiley editorial department. New statistical methods and future directions of research in time series A Course in Time Series Analysis demonstrates how to build time series models for univariate and multivariate time series data. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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In den WarenkorbZustand: New. pp. xvii + 460 Illus. This item is printed on demand.
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In den WarenkorbHardcover. Zustand: Brand New. 1st edition. 496 pages. 9.25x6.50x1.25 inches. In Stock. This item is printed on demand.