9780471361640 - A Course in Time Series Analysis (Wiley Series in Probability and Statistics) von Peña, Daniel; Tiao, George C.; Tsay, Ruey S. (22 Ergebnisse)

Hardback, 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.

Hardcover. Zustand: Good. 1. It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience.

Zustand: acceptable. Used - Acceptable: All pages and the cover are intact, but shrink wrap, dust covers, or boxed set case may be missing. Pages may include limited notes, highlighting, or minor water damage but the text is readable. Item may be missing bundled media.

hardcover. Zustand: New. In shrink wrap. Looks like an interesting title!

Zustand: new.

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Zustand: New. In.

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Hardcover. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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. 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. . . . .

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.&Uumlber den AutorDANIEL PE?A,.

Hardcover. Zustand: Brand New. 1st edition. 496 pages. 9.25x6.50x1.25 inches. In Stock.

Zustand: New. pp. xvii + 460 Index.

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. 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.

Buch. Zustand: Neu. Neuware - New statistical methods and future directions of research in time series.

Hardcover. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

HRD. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Hardcover. Zustand: Brand New. 1st edition. 496 pages. 9.25x6.50x1.25 inches. In Stock. This item is printed on demand.

Zustand: New. pp. xvii + 460 Illus. This item is printed on demand.