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Añadir al carritoCondición: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Librería: Books Puddle, New York, NY, Estados Unidos de America
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Añadir al carritoCondición: New. pp. 465.
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
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Librería: Majestic Books, Hounslow, Reino Unido
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Añadir al carritoCondición: New. In English.
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 117,03
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Librería: GoldBooks, Denver, CO, Estados Unidos de America
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Añadir al carritoCondición: New. In English.
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
EUR 149,75
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Publicado por Springer-Verlag New York Inc., US, 2018
ISBN 10: 1493981552 ISBN 13: 9781493981557
Idioma: Inglés
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 154,30
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Añadir al carritoPaperback. Condición: New. 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. Softcover reprint of the original 1st ed. 2016.
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 168,45
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EUR 156,80
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Añadir al carritoPaperback. Condición: Brand New. reprint edition. 447 pages. 10.00x7.00x1.06 inches. In Stock.
Publicado por Springer-Verlag New York Inc., US, 2018
ISBN 10: 1493981552 ISBN 13: 9781493981557
Idioma: Inglés
Librería: Rarewaves.com UK, London, Reino Unido
EUR 143,11
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Añadir al carritoPaperback. Condición: New. 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. Softcover reprint of the original 1st ed. 2016.
EUR 226,39
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Añadir al carritoHardcover. Condición: Brand New. 10.00x7.00x1.25 inches. In Stock.
Publicado por Springer-Verlag New York Inc., 2018
ISBN 10: 1493981552 ISBN 13: 9781493981557
Idioma: Inglés
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 119,62
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Añadir al carritoPaperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 956.
Librería: moluna, Greven, Alemania
EUR 89,99
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Añadir al carritoCondición: 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.
Librería: moluna, Greven, Alemania
EUR 124,20
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Añadir al carritoGebunden. 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.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 193,51
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Añadir al carritoCondición: New. PRINT ON DEMAND pp. 465.