9781493971886 - dynamic data analysis: modeling data with differential equations di ramsay, jim; hooker, giles (8 risultati)
Lingua: Inglese
Editore: Springer 2017
Serie: Springer Series in Statistics, Libro 146 di 160. Libro 146 di 160 - Springer Series in Statistics
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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Condizione: New. In.
Lingua: Inglese
Editore: Springer, Springer US 2017
Serie: Springer Series in Statistics, Libro 146 di 160. Libro 146 di 160 - Springer Series in Statistics
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This text focuses on the use of smoothing methods for developing and estimating differential equations following recent developments in functional data analysis and building on techniques described in Ramsay and Silverman (2005)Functional Data Analysis.…The central concept of a dynamical system as a buffer that translates sudden changes in input into smooth controlled output responses has led to applications of previously analyzed data, opening up entirely new opportunities for dynamical systems. The technical level has been kept low so that those with little or no exposure to differential equations as modeling objects can be brought into this data analysis landscape. There are already many texts on the mathematical properties of ordinary differential equations, or dynamic models, and there is a large literature distributed over many fields on models for real world processes consisting of differential equations. However, a researcher interested in fitting such a model to data, or a statistician interested in the properties of differential equations estimated from data will find rather less to work with. This book fills that gap.
Lingua: Inglese
Editore: Springer Verlag 2017
Serie: Springer Series in Statistics, Libro 146 di 160. Libro 146 di 160 - Springer Series in Statistics
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Hardcover. Condizione: Brand New. 230 pages. 9.25x6.25x0.75 inches. In Stock.
Lingua: Inglese
Editore: Springer 2017
Serie: Springer Series in Statistics, Libro 146 di 160. Libro 146 di 160 - Springer Series in Statistics
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Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer New York Jun 2017 2017
Serie: Springer Series in Statistics, Libro 146 di 160. Libro 146 di 160 - Springer Series in Statistics
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This text focuses on the use of smoothing methods for developing and estimating differential equations following recent developments in functional data analysis and building on techniques described in Ramsay and Silverman (2005)Functional… Data Analysis. The central concept of a dynamical system as a buffer that translates sudden changes in input into smooth controlled output responses has led to applications of previously analyzed data, opening up entirely new opportunities for dynamical systems. The technical level has been kept low so that those with little or no exposure to differential equations as modeling objects can be brought into this data analysis landscape. There are already many texts on the mathematical properties of ordinary differential equations, or dynamic models, and there is a large literature distributed over many fields on models for real world processes consisting of differential equations. However, a researcher interested in fitting such a model to data, or a statistician interested in the properties of differential equations estimated from data will find rather less to work with. This book fills that gap. 248 pp. Englisch.
Lingua: Inglese
Editore: Springer New York 2017
Serie: Springer Series in Statistics, Libro 146 di 160. Libro 146 di 160 - Springer Series in Statistics
- Rilegato
- Print on Demand
Da: moluna, Greven, Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Offers an accessible text to those with little or no exposure to differential equations as modeling objects Updates and builds on techniques from the popular Functional Data Analysis (Ramsay and Silverman…, 2005)Opens u.
Lingua: Inglese
Editore: Springer 2017
Serie: Springer Series in Statistics, Libro 146 di 160. Libro 146 di 160 - Springer Series in Statistics
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- Print on Demand
Da: preigu, Osnabrück, Germaniapreigu
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Buch. Condizione: Neu. Dynamic Data Analysis | Modeling Data with Differential Equations | James Ramsay (u. a.) | Buch | xvii | Englisch | 2017 | Springer | EAN 9781493971886 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu… Print on Demand.
Lingua: Inglese
Editore: Springer, Springer US Jun 2017 2017
Serie: Springer Series in Statistics, Libro 146 di 160. Libro 146 di 160 - Springer Series in Statistics
- Rilegato
- Print on Demand
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 160,49
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This text focuses on the use of smoothing methods for developing and estimating differential equations following recent developments in functional data analysis and building on techniques described in Ramsay and Silverman (2005) Functional Da…ta Analysis. The central concept of a dynamical system as a buffer that translates sudden changes in input into smooth controlled output responses has led to applications of previously analyzed data, opening up entirely new opportunities for dynamical systems. The technical level has been kept low so that those with little or no exposure to differential equations as modeling objects can be brought into this data analysis landscape. There are already many texts on the mathematical properties of ordinary differential equations, or dynamic models, and there is a large literature distributed over many fields on models for real world processes consisting of differential equations. However, a researcher interested in fitting such a model to data, or a statistician interested in the properties of differential equations estimated from data will find rather less to work with. This book fills that gap.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 248 pp. Englisch.
