Data Fitting and Uncertainty

Tilo Strutz

ISBN 10: 365811455X / ISBN 13: 9783658114558

Published by Springer-Verlag Gmbh Jan 2016, 2016

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -The primary goal of this book is to provide a recipe explaining the functioning of data fitting via least squares and the emphasis here is on practical matters, not on theoretical problems. In addition, the book enables the reader to design own software implementation with application-specific model functions based on the comprehensive discussion of several examples. It includes a self-contained introduction and presents the method in a logical and accessible fashion. The subject of data fitting bridges many disciplines, especially those dealing traditionally with statistics as, for instance, physics, mathematics, engineering, biology, economy, or psychology, but also more recent fields as computer vision. This book is addressed to engineers and computer scientists or corresponding undergraduates, which 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 new details and interpretations or might appreciate the book as useful reference. The text is accompanied with working source code in ANSI-C for the fitting with weighted least squares including outlier detection. 281 pp. Englisch.

Seller Inventory # 9783658114558

Bibliographic Details

• Title: Data Fitting and Uncertainty
• Publisher: Springer-Verlag Gmbh Jan 2016
• Publication Date: 2016
• Language: English
• ISBN 10: 365811455X
• ISBN 13: 9783658114558
• Binding: Taschenbuch
• Edition: 2nd Edition
• Condition: Neu
• Dimensions: 240W x 168H x 16D millimeters 240 millimeters width by 168 millimeters height by 16 millimeters depth
• Weight: 567 grams

About this title

Synopsis

The primary goal of this book is to provide a recipe explaining the functioning of data fitting via least squares and the emphasis here is on practical matters, not on theoretical problems. In addition, the book enables the reader to design own software implementation with application-specific model functions based on the comprehensive discussion of several examples. It includes a self-contained introduction and presents the method in a logical and accessible fashion. The subject of data fitting bridges many disciplines, especially those dealing traditionally with statistics as, for instance, physics, mathematics, engineering, biology, economy, or psychology, but also more recent fields as computer vision. This book is addressed to engineers and computer scientists or corresponding undergraduates, which 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 new details and interpretations or might appreciate the book as useful reference. The text is accompanied with working source code in ANSI-C for the fitting with weighted least squares including outlier detection.

About the Author

Dr.-Ing. habil. Tilo Strutz is professor at Leipzig University of Telecommunications (HfTL, Deutsche Telekom). His expertise is ranging from general signal processing to special problems of image processing and data compression.