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Tilo Strutz:

Data Fitting and Uncertainty : A practical introduction to weighted least squares and beyond - Taschenbuch

2015, ISBN: 365811455X

[EAN: 9783658114558], Neubuch, [PU: Springer-Verlag Gmbh], DATENVERARBEITUNG / DATENVERSCHLÜSSELUNG, KRYPTOGRAFIE; ELEKTROTECHNIK; INFORMATIK; INFORMATIONSTHEORIE; INGENIEURWISSENSCHAFT -… Mehr…

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Data Fitting and Uncertainty | A practical introduction to weighted least squares and beyond | Tilo Strutz | Taschenbuch | xv | Englisch | 2016 | Springer-Verlag GmbH | EAN 9783658114558 - Strutz, Tilo
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Strutz, Tilo:

Data Fitting and Uncertainty | A practical introduction to weighted least squares and beyond | Tilo Strutz | Taschenbuch | xv | Englisch | 2016 | Springer-Verlag GmbH | EAN 9783658114558 - Taschenbuch

2016, ISBN: 9783658114558

[ED: Taschenbuch], [PU: Springer-Verlag GmbH], 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 o… Mehr…

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Data Fitting and Uncertainty - Taschenbuch

2015, ISBN: 9783658114558

[ED: Kartoniert / Broschiert], [PU: Springer Fachmedien Wiesbaden], Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Fast guide to Data Fit… Mehr…

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Tilo Strutz:
Data Fitting and Uncertainty: A practical introduction to weighted least squares and beyond - Taschenbuch

2015, ISBN: 365811455X

[EAN: 9783658114558], Neubuch, [PU: Springer Vieweg 2015-12-16], Books

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Detailangaben zum Buch - Data Fitting and Uncertainty


EAN (ISBN-13): 9783658114558
ISBN (ISBN-10): 365811455X
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2016
Herausgeber: Springer Fachmedien Wiesbaden GmbH

Buch in der Datenbank seit 2016-01-12T03:39:36+01:00 (Berlin)
Detailseite zuletzt geändert am 2024-04-02T15:42:06+02:00 (Berlin)
ISBN/EAN: 9783658114558

ISBN - alternative Schreibweisen:
3-658-11455-X, 978-3-658-11455-8
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: strutz tilo
Titel des Buches: squares, tilo


Daten vom Verlag:

Autor/in: Tilo Strutz
Titel: Data Fitting and Uncertainty - A practical introduction to weighted least squares and beyond
Verlag: Springer Vieweg; Springer Fachmedien Wiesbaden GmbH
281 Seiten
Erscheinungsjahr: 2015-12-16
Wiesbaden; DE
Gedruckt / Hergestellt in Niederlande.
Sprache: Englisch
117,69 € (DE)
120,99 € (AT)
130,00 CHF (CH)
POD
XV, 281 p. 136 illus., 71 illus. in color. With 71 test questions and examples.

BC; Hardcover, Softcover / Technik/Elektronik, Elektrotechnik, Nachrichtentechnik; Elektronik; Verstehen; Estimation of Model Parameters; Model Parameters; data reduction; least squares; outlier detection; regression analysis; weighted least squares; Signal, Speech and Image Processing; Communications Engineering, Networks; Coding and Information Theory; Digitale Signalverarbeitung (DSP); Nachrichtententechnik, Telekommunikation; Kodierungstheorie und Verschlüsselung (Kryptologie); Informationstheorie; BC; EA

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.

Framework of Least-Squares Method.- Introduction to Data-Fitting Problems.- Estimation of Model Parameters by the Method of Least Squares.- Weights and Outliers.- Uncertainty of Results.- Mathematics, Optimisation Methods, and Add ons.- Matrix Algebra.- The Idea behind Least Squares.- Supplemental Tools and Methods.- A Comparison of Approaches to Outlier Detection.- Implementation.

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

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.

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


Fast guide to Data Fitting and Uncertainty A self-contained introduction Design your own software implementations

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