Relating Least Squares method input error with output error
Abstract
The least squares method is the standard numerical method procedure for finding the best-fitting curve to a set of points, adjusting a curve looking to minimize the sum of the squares of theoffsets (hence why least squares). These residuals of the points from the curve sometimes can haveoutlying points which can cause a disproportionate effect on the fit, which can be undesirable [2].That’s this works focus. [...]
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References
E. C ̧ inlar.Probability and Stochastics. Springer New York, 2011.
E. W. Weisstein. Least squares fitting, 2018. [Online; accessed 20/01/2020].