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Añadir al carritoPaperback. Condición: Sehr gut. 224 pp. Very well preserved copy 338 Sprache: Englisch Gewicht in Gramm: 704.
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Publicado por Springer-Verlag New York Inc., US, 2009
ISBN 10: 0387981845 ISBN 13: 9780387981840
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Añadir al carritoPaperback. Condición: New. 2009 ed.
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Publicado por Springer-Verlag New York Inc., New York, NY, 2009
ISBN 10: 0387981845 ISBN 13: 9780387981840
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Añadir al carritoPaperback. Condición: new. Paperback. Scientists often collect samples of curves and other functional observations, and develop models where parameters are also functions. This volume in the UseR! Series is aimed at a wide range of readers, and especially those who would like apply these techniques to their research problems. It complements Functional Data Analysis, Second Edition and Applied Functional Data Analysis: Methods and Case Studies by providing computer code in both the R and Matlab languages for a set of data analyses that showcase functional data analysis techniques. The authors make it easy to get up and running in new applications by adapting the code for the examples, and by being able to access the details of key functions within these pages. This book is accompanied by additional web-based support at for applying existing functions and developing new ones in either language. The companion 'fda' package for R includes script files to reproduce nearly all the examples in the book including all but one of the 76 figures. It complements Functional Data Analysis, Second Edition and Applied Functional Data Analysis: Methods and Case Studies by providing computer code in both the R and Matlab languages for a set of data analyses that showcase functional data analysis techniques. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Publicado por Springer-Verlag New York Inc., US, 2009
ISBN 10: 0387981845 ISBN 13: 9780387981840
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Añadir al carritoPaperback. Condición: New. 2009 ed.
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Publicado por Springer-Verlag New York Inc., New York, NY, 2009
ISBN 10: 0387981845 ISBN 13: 9780387981840
Librería: AussieBookSeller, Truganina, VIC, Australia
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Añadir al carritoPaperback. Condición: new. Paperback. Scientists often collect samples of curves and other functional observations, and develop models where parameters are also functions. This volume in the UseR! Series is aimed at a wide range of readers, and especially those who would like apply these techniques to their research problems. It complements Functional Data Analysis, Second Edition and Applied Functional Data Analysis: Methods and Case Studies by providing computer code in both the R and Matlab languages for a set of data analyses that showcase functional data analysis techniques. The authors make it easy to get up and running in new applications by adapting the code for the examples, and by being able to access the details of key functions within these pages. This book is accompanied by additional web-based support at for applying existing functions and developing new ones in either language. The companion 'fda' package for R includes script files to reproduce nearly all the examples in the book including all but one of the 76 figures. It complements Functional Data Analysis, Second Edition and Applied Functional Data Analysis: Methods and Case Studies by providing computer code in both the R and Matlab languages for a set of data analyses that showcase functional data analysis techniques. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Publicado por Springer-Verlag New York Inc., 2009
ISBN 10: 0387981845 ISBN 13: 9780387981840
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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.
Librería: moluna, Greven, Alemania
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Includes supplementary material: sn.pub/extrasThe book provides an application-oriented overview of functional analysis, with extended and accessible presentations of key concepts such as spline basis functions, data smoothing, curve registrat.