9781493971886 - dynamic data analysis: modeling data with differential equations (springer series in statistics) de hooker, giles; ramsay, james (8 resultados)
Idioma: Inglés
Editorial: Springer 2017
Serie: Springer Series in Statistics, Libro 146 de 160. Libro 146 de 160 - Springer Series in Statistics
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Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
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Editorial: Springer, Springer US 2017
Serie: Springer Series in Statistics, Libro 146 de 160. Libro 146 de 160 - Springer Series in Statistics
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Buch. Condición: 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. T…he 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.
Idioma: Inglés
Editorial: Springer Verlag 2017
Serie: Springer Series in Statistics, Libro 146 de 160. Libro 146 de 160 - Springer Series in Statistics
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Librería: Revaluation Books, Exeter, , Reino UnidoRevaluation Books
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Hardcover. Condición: Brand New. 230 pages. 9.25x6.25x0.75 inches. In Stock.
Idioma: Inglés
Editorial: Springer 2017
Serie: Springer Series in Statistics, Libro 146 de 160. Libro 146 de 160 - Springer Series in Statistics
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Librería: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condición: new. Questo è un articolo print on demand.
Idioma: Inglés
Editorial: Springer New York Jun 2017 2017
Serie: Springer Series in Statistics, Libro 146 de 160. Libro 146 de 160 - Springer Series in Statistics
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, , AlemaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condición: 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.
Idioma: Inglés
Editorial: Springer New York 2017
Serie: Springer Series in Statistics, Libro 146 de 160. Libro 146 de 160 - Springer Series in Statistics
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Librería: moluna, Greven, , Alemaniamoluna
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Condición: 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.
Idioma: Inglés
Editorial: Springer 2017
Serie: Springer Series in Statistics, Libro 146 de 160. Libro 146 de 160 - Springer Series in Statistics
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Librería: preigu, Osnabrück, Alemaniapreigu
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Buch. Condición: 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.
Idioma: Inglés
Editorial: Springer, Springer US Jun 2017 2017
Serie: Springer Series in Statistics, Libro 146 de 160. Libro 146 de 160 - Springer Series in Statistics
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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EUR 160,49
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Buch. Condición: 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 Dat…a 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.
