The Method of Least Squares
2011 ◽
pp. 181-185
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Keyword(s):
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.
1988 ◽
Vol 14
(4)
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pp. 489-503
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Keyword(s):
1987 ◽
Vol 11
(3)
◽
pp. 185-194
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2016 ◽
Vol 45
◽
pp. 161-171
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Keyword(s):
1923 ◽
Vol 7
(11)
◽
pp. 1043
◽
1996 ◽
Vol 142
(2)
◽
pp. 235-246
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Keyword(s):