ISBN: 9780471394341 - Foundations of Time Series Analysis and Prediction Theory: 379 (wiley Series in Probability and Statistics) (20 results)

Hardcover. Condition: Fine. 1st Edition. Preface says that this "book provides a solid foundation for time series analysis and prediction theory . interdisciplinary nature of time series analysis lying at the intersection of the mathematical, statistical, computational, physical, engineering and system sciences. The goal is to join the two lines of developments in time series analysis centered around the work of Schuster, Yule, Slutsky, Wold, . and prediction theory base on the work of Szego, Wold, Cramer, Kolmororov, Wiener, . into a logically sound and pedagogically reasonable theory of modern statistical time series analysis.".…

Hardcover. Condition: Gut. Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ancien Exemplaire de bibliothèque avec signature et cachet. BON état, quelques traces d'usure. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. 62 POU 9780471394341 Sprache: Englisch Gewicht in Gramm: 1150.…

gebundene Ausgabe. Condition: Gut. 414 Seiten Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sehr sauber und kann entsprechende Merkmale aufweisen (Rückenschild, Instituts-Stempel.). In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 780.

HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

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Condition: New. This text provides a mathematical foundation for prediction theory and time series analysis using the geometry of Hilbert spaces. Emphasis is on foundation and structure, supported by theory, application and exercises to provide reinforcement and to extend discussions. Series: Wiley Series in Probability and Statistics. Num Pages: 448 pages, Ill. BIC Classification: PBT. Category: (G) General (US: Trade); (P) Professional & Vocational; (UU) Undergraduate. Dimension: 242 x 159 x 26. Weight in Grams: 737. . 2001. 1st Edition. Hardcover. . . . .…

Gebunden. Condition: New. This text provides a mathematical foundation for prediction theory and time series analysis using the geometry of Hilbert spaces. Emphasis is on foundation and structure, supported by theory, application and exercises to provide reinforcement and to extend .

Hardcover. Condition: Brand New. 1st edition. 448 pages. 9.50x6.00x1.00 inches. In Stock.

Condition: New. This text provides a mathematical foundation for prediction theory and time series analysis using the geometry of Hilbert spaces. Emphasis is on foundation and structure, supported by theory, application and exercises to provide reinforcement and to extend discussions. Series: Wiley Series in Probability and Statistics. Num Pages: 448 pages, Ill. BIC Classification: PBT. Category: (G) General (US: Trade); (P) Professional & Vocational; (UU) Undergraduate. Dimension: 242 x 159 x 26. Weight in Grams: 737. . 2001. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.…

Buch. Condition: Neu. Neuware - Foundations of time series for researchers and students This volume provides a mathematical foundation for time seriesanalysis and prediction theory using the idea of regression and thegeometry of Hilbert spaces. It presents an overview of the tools oftime series data analysis, a detailed structural analysis ofstationary processes through various reparameterizations employingtechniques from prediction theory, digital signal processing, andlinear algebra. The author emphasizes the foundation and structureof time series and backs up this coverage with theory andapplication. End-of-chapter exercises provide reinforcement for self-study andappendices covering multivariate distributions and Bayesianforecasting add useful reference material. Further coveragefeatures: \* Similarities between time series analysis and longitudinal dataanalysis \* Parsimonious modeling of covariance matrices through ARMA-likemodels \* Fundamental roles of the Wold decomposition andorthogonalization \* Applications in digital signal processing and Kalmanfiltering \* Review of functional and harmonic analysis and predictiontheory Foundations of Time Series Analysis and Prediction Theory guidesreaders from the very applied principles of time series analysisthrough the most theoretical underpinnings of prediction theory. Itprovides a firm foundation for a widely applicable subject forstudents, researchers, and professionals in diverse scientificfields.…

Condition: gut. 2001. Foundations of Time Series Analysis and Prediction Theory Wiley Series in Probability and Statistics In englischer Sprache. pages.

Condition: New. pp. xviii + 414 Illus. This item is printed on demand.

Hardcover. Condition: new. Hardcover. Foundations of time series for researchers and students This volume provides a mathematical foundation for time seriesanalysis and prediction theory using the idea of regression and thegeometry of Hilbert spaces. It presents an overview of the tools oftime series data analysis, a detailed structural analysis ofstationary processes through various reparameterizations employingtechniques from prediction theory, digital signal processing, andlinear algebra. The author emphasizes the foundation and structureof time series and backs up this coverage with theory andapplication. End-of-chapter exercises provide reinforcement for self-study andappendices covering multivariate distributions and Bayesianforecasting add useful reference material. Further coveragefeatures: * Similarities between time series analysis and longitudinal dataanalysis * Parsimonious modeling of covariance matrices through ARMA-likemodels * Fundamental roles of the Wold decomposition andorthogonalization * Applications in digital signal processing and Kalmanfiltering * Review of functional and harmonic analysis and predictiontheory Foundations of Time Series Analysis and Prediction Theory guidesreaders from the very applied principles of time series analysisthrough the most theoretical underpinnings of prediction theory. Itprovides a firm foundation for a widely applicable subject forstudents, researchers, and professionals in diverse scientificfields. This book provides a mathematical foundation for prediction theory and time series analysis using the idea of regression (prediction) and the geometry of Hilbert spaces. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Hardcover. Condition: Brand New. 1st edition. 448 pages. 9.50x6.00x1.00 inches. In Stock. This item is printed on demand.