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Time Series Analysis and Applications to Geophysical Systems: Part I: 45 (The IMA Volumes in Mathematics and its Applications) - Tapa blanda
Sinopsis
Part of a two volume set based on a recent IMA program of the same name. The goal of the program and these books is to develop a community of statistical and other scientists kept up-to-date on developments in this quickly evolving and interdisciplinary field. Consequently, these books present recent material by distinguished researchers. Topics discussed in Part I include nonlinear and non- Gaussian models and processes (higher order moments and spectra, nonlinear systems, applications in astronomy, geophysics, engineering, and simulation) and the interaction of time series analysis and statistics (information model identification, categorical valued time series, nonparametric and semiparametric methods). Self-similar processes and long-range dependence (time series with long memory, fractals, 1/f noise, stable noise) and time series research common to engineers and economists (modeling of multivariate and possibly non-stationary time series, state space and adaptive methods) are discussed in Part II.
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Reseña del editor
Part of a two volume set based on a recent IMA program of the same name. The goal of the program and these books is to develop a community of statistical and other scientists kept up-to-date on developments in this quickly evolving and interdisciplinary field. Consequently, these books present recent material by distinguished researchers. Topics discussed in Part I include nonlinear and non- Gaussian models and processes (higher order moments and spectra, nonlinear systems, applications in astronomy, geophysics, engineering, and simulation) and the interaction of time series analysis and statistics (information model identification, categorical valued time series, nonparametric and semiparametric methods). Self-similar processes and long-range dependence (time series with long memory, fractals, 1/f noise, stable noise) and time series research common to engineers and economists (modeling of multivariate and possibly non-stationary time series, state space and adaptive methods) are discussed in Part II.
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- EditorialSpringer
- Año de publicación2011
- ISBN 10 1461277353
- ISBN 13 9781461277354
- EncuadernaciónTapa blanda
- IdiomaInglés
- Número de páginas276
- EditorBrillinger David, Caines Peter, Geweke John, Parzen Emanuel, Rosenblatt Murray, Taqqu Murad S.
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Time Series Analysis and Applications to Geophysical Systems: Part I (The IMA Volumes in Mathematics and its Applications)
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Time Series Analysis and Applications to Geophysical Systems
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Part of a two volume set based on a recent IMA program of the same name. The goal of the program and these books is to develop a community of statistical and other scientists kept up-to-date on developments in this quickly evolving and interdisciplinary fie. Nº de ref. del artículo: 4190332
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Time Series Analysis and Applications to Geophysical Systems : Part I
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Springer New York, Springer US, 2011
ISBN 10: 1461277353
ISBN 13: 9781461277354
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Part of a two volume set based on a recent IMA program of the same name. The goal of the program and these books is to develop a community of statistical and other scientists kept up-to-date on developments in this quickly evolving and interdisciplinary field. Consequently, these books present recent material by distinguished researchers. Topics discussed in Part I include nonlinear and non- Gaussian models and processes (higher order moments and spectra, nonlinear systems, applications in astronomy, geophysics, engineering, and simulation) and the interaction of time series analysis and statistics (information model identification, categorical valued time series, nonparametric and semiparametric methods). Self-similar processes and long-range dependence (time series with long memory, fractals, 1/f noise, stable noise) and time series research common to engineers and economists (modeling of multivariate and possibly non-stationary time series, state space and adaptive methods) are discussed in Part II . Nº de ref. del artículo: 9781461277354
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Time Series Analysis and Applications to Geophysical Systems: Part I
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Springer-Verlag New York Inc., 2011
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ISBN 13: 9781461277354
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Time Series Analysis and Applications to Geophysical Systems: Part I (IMA Volumes in Mathematics and Its Applications)
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Time Series Analysis and Applications to Geophysical Systems
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Time Series Analysis and Applications to Geophysical Systems
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Time Series Analysis and Applications to Geophysical Systems
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Time Series Analysis and Applications to Geophysical Systems: Part I (The IMA Volumes in Mathematics and its Applications)
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Time Series Analysis and Applications to Geophysical Systems
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Springer New York Sep 2011, 2011
ISBN 10: 1461277353
ISBN 13: 9781461277354
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Part of a two volume set based on a recent IMA program of the same name. The goal of the program and these books is to develop a community of statistical and other scientists kept up-to-date on developments in this quickly evolving and interdisciplinary field. Consequently, these books present recent material by distinguished researchers. Topics discussed in Part I include nonlinear and non- Gaussian models and processes (higher order moments and spectra, nonlinear systems, applications in astronomy, geophysics, engineering, and simulation) and the interaction of time series analysis and statistics (information model identification, categorical valued time series, nonparametric and semiparametric methods). Self-similar processes and long-range dependence (time series with long memory, fractals, 1/f noise, stable noise) and time series research common to engineers and economists (modeling of multivariate and possibly non-stationary time series, state space and adaptive methods) are discussed in Part II . 276 pp. Englisch. Nº de ref. del artículo: 9781461277354
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