Published by Springer, 2011
ISBN 10: 1461277353 ISBN 13: 9781461277354
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Published by Springer, 2011
ISBN 10: 1461277353 ISBN 13: 9781461277354
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Published by Springer, 2011
ISBN 10: 1461277353 ISBN 13: 9781461277354
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Published by Springer, 2011
ISBN 10: 1461277353 ISBN 13: 9781461277354
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Published by Springer, 2011
ISBN 10: 1461277353 ISBN 13: 9781461277354
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Published by Springer, 2011
ISBN 10: 1461277353 ISBN 13: 9781461277354
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Published by Springer New York, 2011
ISBN 10: 1461277353 ISBN 13: 9781461277354
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Published by Springer-Verlag New York Inc., 2011
ISBN 10: 1461277353 ISBN 13: 9781461277354
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Published by Springer-Verlag New York Inc., 2011
ISBN 10: 1461277353 ISBN 13: 9781461277354
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Condition: New. Editor(s): Brillinger, David; Caines, P. E.; Geweke, John; Parzen, Emanuel; Rosenblatt, Murray; Taqqu, M. S. Series: The IMA Volumes in Mathematics and its Applications. Num Pages: 407 pages, biography. BIC Classification: PBK. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 14. Weight in Grams: 422. . 2011. 2004th Edition. paperback. . . . .
Published by Springer, 2011
ISBN 10: 1461277353 ISBN 13: 9781461277354
Seller: GreatBookPricesUK, Castle Donington, DERBY, United Kingdom
Condition: As New. Unread book in perfect condition.
Published by Springer New York, 2011
ISBN 10: 1461277353 ISBN 13: 9781461277354
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: 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 .
Published by Springer-Verlag New York Inc., 2011
ISBN 10: 1461277353 ISBN 13: 9781461277354
Seller: Kennys Bookstore, Olney, MD, U.S.A.
Condition: New. Editor(s): Brillinger, David; Caines, P. E.; Geweke, John; Parzen, Emanuel; Rosenblatt, Murray; Taqqu, M. S. Series: The IMA Volumes in Mathematics and its Applications. Num Pages: 407 pages, biography. BIC Classification: PBK. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 14. Weight in Grams: 422. . 2011. 2004th Edition. paperback. . . . . Books ship from the US and Ireland.
Published by Springer New York, 2011
ISBN 10: 1461277353 ISBN 13: 9781461277354
Seller: moluna, Greven, Germany
Condition: 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.
Published by Springer New York Sep 2011, 2011
ISBN 10: 1461277353 ISBN 13: 9781461277354
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: 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.