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Añadir al carritoTaschenbuch. Condición: Neu. Change Point Analysis for Time Series | Lajos Horváth (u. a.) | Taschenbuch | xiii | Englisch | 2025 | Springer | EAN 9783031516115 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Idioma: Inglés
Publicado por Springer Nature Switzerland, Springer Nature Switzerland, 2025
ISBN 10: 3031516117 ISBN 13: 9783031516115
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering.
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Publicado por Springer Nature Switzerland, Springer Nature Switzerland Mai 2025, 2025
ISBN 10: 3031516117 ISBN 13: 9783031516115
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 560 pp. Englisch.
Idioma: Inglés
Publicado por Springer, Palgrave Macmillan Mai 2025, 2025
ISBN 10: 3031516117 ISBN 13: 9783031516115
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This volume provides a comprehensive survey that covers various modern methods used for detecting and estimating change points in time series and their models. The book primarily focuses on asymptotic theory and practical applications of change point analysis. The methods discussed in the book go beyond the traditional change point methods for univariate and multivariate series. It also explores techniques for handling heteroscedastic series, high-dimensional series, and functional data. While the primary emphasis is on retrospective change point analysis, the book also presents sequential 'on-line' methods for detecting change points in real-time scenarios. Each chapter in the book includes multiple data examples that illustrate the practical application of the developed results. These examples cover diverse fields such as economics, finance, environmental studies, and health data analysis. To reinforce the understanding of the material, each chapter concludes with several exercises. Additionally, the book provides a discussion of background literature, allowing readers to explore further resources for in-depth knowledge on specific topics. Overall, 'Change Point Analysis for Time Series' offers a broad and informative overview of modern methods in change point analysis, making it a valuable resource for researchers, practitioners, and students interested in analyzing and modeling time series data.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 560 pp. Englisch.
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