Data Fitting and Uncertainty
A practical introduction to weighted least squares and beyond. With Online-Service
(Sprache: Englisch)
Suitable for beginners in this field
This comprehensive handbook details the groundbreaking research conducted under the breakthrough GALE program, while placing it in the context of previous research in the fields of natural language and signal...
This comprehensive handbook details the groundbreaking research conducted under the breakthrough GALE program, while placing it in the context of previous research in the fields of natural language and signal...
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Produktinformationen zu „Data Fitting and Uncertainty “
Suitable for beginners in this field
This comprehensive handbook details the groundbreaking research conducted under the breakthrough GALE program, while placing it in the context of previous research in the fields of natural language and signal processing, artificial intelligence and machine translation.
This comprehensive handbook details the groundbreaking research conducted under the breakthrough GALE program, while placing it in the context of previous research in the fields of natural language and signal processing, artificial intelligence and machine translation.
Klappentext zu „Data Fitting and Uncertainty “
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 designown 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.The content:
Introduction to Data-Fitting Problems ? Estimation of Model Parameters by Least-Squares ? Weights and Outliers ? Uncertainty of Results ? Matrix Algebra ? The Idea Behind Least Squares ? Supplemental Tools and Methods
Target Groups:
engineers, computer scientists, physicists and software programmers
undergraduates of engineering, computer science, physics
About the author:
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.
Inhaltsverzeichnis zu „Data Fitting and Uncertainty “
Introduction to Data-Fitting Problems - Estimation of Model Parameters by Least-Squares - Weights and Outliers - Uncertainty of Results - Matrix Algebra - The Idea Behind Least Squares - Supplemental Tools and Methods
Autoren-Porträt von Tilo Strutz
: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.
Bibliographische Angaben
- Autor: Tilo Strutz
- 2010, 2011., XIV, 244 Seiten, 124 Schwarz-Weiß-Abbildungen, mit Abbildungen, Maße: 16,8 x 24,4 cm, Kartoniert (TB), Englisch
- Verlag: Vieweg+Teubner
- ISBN-10: 3834810223
- ISBN-13: 9783834810229
Sprache:
Englisch
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