9781493940189 - functional and shape data analysis (springer series in statistics) de srivastava, anuj; klassen, eric p. (11 resultados)
Idioma: Inglés
Editorial: Springer 2016
Serie: Springer Series in Statistics, Libro 143 de 160. Libro 143 de 160 - Springer Series in Statistics
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Librería: GoldBooks, Denver, Estados Unidos de AmericaGoldBooks
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Hardcover. Condición: new. New Copy. Customer Service Guaranteed.
Idioma: Inglés
Editorial: Springer 2016
Serie: Springer Series in Statistics, Libro 143 de 160. Libro 143 de 160 - Springer Series in Statistics
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Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
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Condición: New. In English.
Idioma: Inglés
Editorial: Springer 2016
Serie: Springer Series in Statistics, Libro 143 de 160. Libro 143 de 160 - Springer Series in Statistics
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Librería: Books Puddle, New York, Estados Unidos de AmericaBooks Puddle
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Condición: New. pp. 486.
Idioma: Inglés
Editorial: Springer, Humana 2016
Serie: Springer Series in Statistics, Libro 143 de 160. Libro 143 de 160 - Springer Series in Statistics
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook for courses on function data analysis and shape data analysis describes how to define, compare, and mathematically represent shapes, with a focus on statistical modeling and inference. It is aimed at graduate students in analysis in statisti…cs, engineering, applied mathematics, neuroscience, biology, bioinformatics, and other related areas. The interdisciplinary nature of the broad range of ideas covered-from introductory theory to algorithmic implementations and some statistical case studies-is meant to familiarize graduate students with an array of tools that are relevant in developing computational solutions for shape and related analyses. These tools, gleaned from geometry, algebra, statistics, and computational science, are traditionally scattered across different courses, departments, and disciplines; Functional and Shape Data Analysis offers a unified, comprehensive solution by integrating the registration problem into shape analysis, better preparing graduate students for handling future scientific challenges.Recently, a data-driven and application-oriented focus on shape analysis has been trending. This text offers a self-contained treatment of this new generation of methods in shape analysis of curves. Its main focus is shape analysis of functions and curves-in one, two, and higher dimensions-both closed and open. It develops elegant Riemannian frameworks that provide both quantification of shape differences and registration of curves at the same time. Additionally, these methods are used for statistically summarizing given curve data, performing dimension reduction, and modeling observed variability. It is recommended that the reader have a background in calculus, linear algebra, numerical analysis, and computation.
Idioma: Inglés
Editorial: Springer Verlag 2016
Serie: Springer Series in Statistics, Libro 143 de 160. Libro 143 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. 10.00x7.00x1.25 inches. In Stock.
Idioma: Inglés
Editorial: Springer New York 2016
Serie: Springer Series in Statistics, Libro 143 de 160. Libro 143 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. Anuj Srivastava is a Professor in the Department of Statistics and a Distinguished Research Professor at Florida State University. His areas of interest include statistical analysis on nonlinear manifolds, statistical… computer vision, functional.
Idioma: Inglés
Editorial: Springer, Humana Okt 2016 2016
Serie: Springer Series in Statistics, Libro 143 de 160. Libro 143 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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EUR 160,49
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This textbook for courses on function data analysis and shape data analysis describes how to define, compare, and mathematically represent shapes, with a focus on statistical modeling and inference. It is aimed at graduate students in anal…ysis in statistics, engineering, applied mathematics, neuroscience, biology, bioinformatics, and other related areas. The interdisciplinary nature of the broad range of ideas covered-from introductory theory to algorithmic implementations and some statistical case studies-is meant to familiarize graduate students with an array of tools that are relevant in developing computational solutions for shape and related analyses. These tools, gleaned from geometry, algebra, statistics, and computational science, are traditionally scattered across different courses, departments, and disciplines; Functional and Shape Data Analysis offers a unified, comprehensive solution by integrating the registration problem into shape analysis, better preparing graduate students for handling future scientific challenges.Recently, a data-driven and application-oriented focus on shape analysis has been trending. This text offers a self-contained treatment of this new generation of methods in shape analysis of curves. Its main focus is shape analysis of functions and curves-in one, two, and higher dimensions-both closed and open. It develops elegant Riemannian frameworks that provide both quantification of shape differences and registration of curves at the same time. Additionally, these methods are used for statistically summarizing given curve data, performing dimension reduction, and modeling observed variability. It is recommended that the reader have a background in calculus, linear algebra, numerical analysis, and computation. 468 pp. Englisch.
Idioma: Inglés
Editorial: Springer 2016
Serie: Springer Series in Statistics, Libro 143 de 160. Libro 143 de 160 - Springer Series in Statistics
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- Impresión bajo demanda
Librería: Biblios, frankfurt am main, AlemaniaBiblios
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EUR 193,28
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Condición: New. PRINT ON DEMAND pp. 486.
Idioma: Inglés
Editorial: Springer 2016
Serie: Springer Series in Statistics, Libro 143 de 160. Libro 143 de 160 - Springer Series in Statistics
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Librería: Brook Bookstore On Demand, Napoli, ItaliaBrook Bookstore On Demand
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Condición: new. Questo è un articolo print on demand.
Idioma: Inglés
Editorial: Springer 2016
Serie: Springer Series in Statistics, Libro 143 de 160. Libro 143 de 160 - Springer Series in Statistics
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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EUR 204,38
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Condición: New. Print on Demand pp. 486.
Idioma: Inglés
Editorial: Springer, Humana Okt 2016 2016
Serie: Springer Series in Statistics, Libro 143 de 160. Libro 143 de 160 - Springer Series in Statistics
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Librería: buchversandmimpf2000, Emtmannsberg, Alemaniabuchversandmimpf2000
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EUR 160,49
Envío por EUR 60,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This textbook for courses on function data analysis and shape data analysis describes how to define, compare, and mathematically represent shapes, with a focus on statistical modeling and inference. It is aimed at graduate students in analysis… in statistics, engineering, applied mathematics, neuroscience, biology, bioinformatics, and other related areas. The interdisciplinary nature of the broad range of ideas covered¿from introductory theory to algorithmic implementations and some statistical case studies¿is meant to familiarize graduate students with an array of tools that are relevant in developing computational solutions for shape and related analyses. These tools, gleaned from geometry, algebra, statistics, and computational science, are traditionally scattered across different courses, departments, and disciplines; Functional and Shape Data Analysis offers a unified, comprehensive solution by integrating the registration problem into shape analysis, better preparing graduate students for handling future scientific challenges.Recently, a data-driven and application-oriented focus on shape analysis has been trending. This text offers a self-contained treatment of this new generation of methods in shape analysis of curves. Its main focus is shape analysis of functions and curves¿in one, two, and higher dimensions¿both closed and open. It develops elegant Riemannian frameworks that provide both quantification of shape differences and registration of curves at the same time. Additionally, these methods are used for statistically summarizing given curve data, performing dimension reduction, and modeling observed variability. It is recommended that the reader have a background in calculus, linear algebra, numerical analysis, and computation.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 468 pp. Englisch.
