Wir verwenden Cookies und Analyse-Tools, um die Nutzerfreundlichkeit der Internet-Seite zu verbessern und für Marketingzwecke. Wenn Sie fortfahren, diese Seite zu verwenden, nehmen wir an, dass Sie damit einverstanden sind. Zur Datenschutzerklärung.
Total Least Squares
CHF 43.20
Auf Lager
SKU
I2293R4MIF6
1 Verfügbar 
Geliefert zwischen Mi., 26.11.2025 und Do., 27.11.2025
Details
High Quality Content by WIKIPEDIA articles! Total least squares, also known as errors in variables, rigorous least squares, or orthogonal regression, is a least squares data modeling technique in which observational errors on both dependent and independent variables are taken into account. It is a generalization of Deming regression, and can be applied to both linear and non-linear models. In short, total least squares does not have the property of units-invariance (it is not scale invariant). For a meaningful model we require this property to hold. A way forward is to realise that residuals (distances) measured in different units can be combined if multiplication is used instead of addition. Consider fitting a line: for each data point the product of the vertical and horizontal residuals equals twice the area of the triangle formed by the residual lines and the fitted line.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09786130336370
- Editor Lambert M. Surhone, Miriam T. Timpledon, Susan F. Marseken
- Sprache Englisch
- Größe H221mm x B149mm x T15mm
- Jahr 2010
- EAN 9786130336370
- Format Kartonierter Einband
- ISBN 978-613-0-33637-0
- Titel Total Least Squares
- Untertitel Least Squares, Overdetermined System, System of Linear Equations, Carl Friedrich Gauss, Linear Least Squares, Non-Linear Least Squares, Gauss-Newton Algorithm, Weighted Mean
- Gewicht 168g
- Herausgeber Betascript Publishing
- Anzahl Seiten 100
- Genre Mathematik
Bewertungen
Schreiben Sie eine Bewertung
