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2016
The English version of this paper appeared two years after the Chinese “original”. During the 1950s and early 1960s, DDK visited China several times on exchange programmes.
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The English version of this paper appeared two years after the Chinese “original”. During the 1950s and early 1960s, DDK visited China several times on exchange programmes.
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2010
The method of least squares with k explanatory variables. X is often called the design matrix. Definition of the coefficient of determination and the multiple correlation coefficient. 100R2 is percentage of explained variation in y.
Knut Sydsæter, Arne Strøm, Peter Berck
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The method of least squares with k explanatory variables. X is often called the design matrix. Definition of the coefficient of determination and the multiple correlation coefficient. 100R2 is percentage of explained variation in y.
Knut Sydsæter, Arne Strøm, Peter Berck
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2006
The method of least squares is a geometric principle of curve fitting. The unknown parameters of a function are calculated in such a way that the sum of squared differences between function values and measurements gets minimal. Examples are given for a linear and a nonlinear curve fitting problem. Consequences of model linearizations are explained.
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The method of least squares is a geometric principle of curve fitting. The unknown parameters of a function are calculated in such a way that the sum of squared differences between function values and measurements gets minimal. Examples are given for a linear and a nonlinear curve fitting problem. Consequences of model linearizations are explained.
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Computer Methods in Applied Mechanics and Engineering, 1998
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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2001
Least-squares is described as a method for solving problems where there is an excess of information available. This is often the case in experimental mechanics. The method can be used to include information from different sources; experimental and theoretical. The method is applied to curve fitting problems and to more general situations.
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Least-squares is described as a method for solving problems where there is an excess of information available. This is often the case in experimental mechanics. The method can be used to include information from different sources; experimental and theoretical. The method is applied to curve fitting problems and to more general situations.
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2018
The method of least squares is a standard statistical method for drawing the best straight line through a set of points.
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The method of least squares is a standard statistical method for drawing the best straight line through a set of points.
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Robust Total Least Squares Estimation Method for Uncertain Linear Regression Model
Mathematics, 2023Hongmei Shi, Yufu Ning, Shuai Wang
exaly