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Data Fitting and Uncertainty
Tilo Strutz (Broschiert, Englisch)
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Beschreibung
The subject of data fitting bridges many disciplines, especially those traditionally dealing with statistics like physics, mathematics, engineering, biology, economy, or psychology, but also more recent fields like computer vision. This book addresses itself to engineers and computer scientists or corresponding undergraduates who are interested in data fitting by the method of least-squares… approximation, but have no or only limited pre-knowledge in this field. Experienced readers will find in it new ideas or might appreciate the book as a useful work of reference. Familiarity with basic linear algebra is helpful though not essential as the book includes a self-contained introduction and presents the method in a logical and accessible fashion. The primary goal of the text is to explain how data fitting via least squares works. The reader will find that the emphasis of the book is on practical matters, not on theoretical problems. In addition, the book enables the reader to design own software implementations with application-specific model functions based on the comprehensive discussion of several examples. The text is accompanied with working source code in ANSI-C for fitting with weighted least squares including outlier detection.
Among others the book covers following topics
* fitting of linear and nonlinear functions with one- or multi-dimensional variables
* weighted least-squares
* outlier detection
* evaluation of the fitting results
* different optimisation strategies
* combined fitting of different model functions
* total least-squares approach with multi-dimensional conditions Dieses Produkt haben wir gerade leider nicht auf Lager.
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Technische Daten
Erscheinungsdatum
30.09.2010
Sprache
Englisch
Originalsprache
Deutsch
EAN
9783834810229
Herausgeber
Vieweg & Teubner
Sonderedition
Nein
Autor
Tilo Strutz
Seitenanzahl
244
Einbandart
Broschiert
Buch Untertitel
A practical introduction to weighted least squares and beyond
Autorenporträt
Dr.-Ing. habil. Tilo Strutz is professor at Hochschule für Telekommunikation Leipzig (University of Applied Sciences, Deutsche Telekom AG). His expertise is ranging from general signal processing to image processing to data compression.
Schlagwörter
signal approximation, Model Parameters, data reduction, least squares, Estimation of Model Parameters, outlier detection, weighted least squares, regression analysis
Höhe
240 mm
Breite
16.8 cm
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