Ordinary Non-Linear Least Squares Regression Algorithm: Difference between revisions
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** [[Ordinary Least Squares Linear Regression Algorithm]]. | ** [[Ordinary Least Squares Linear Regression Algorithm]]. | ||
* <B>See:</B> [[Generalized Least Squares]]. | * <B>See:</B> [[Generalized Least Squares]]. | ||
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Latest revision as of 19:20, 22 September 2021
An Ordinary Non-Linear Least Squares Regression Algorithm is a non-linear regression algorithm that is a ordinary least squares algorithm.
- AKA: Un-Regularized Nonlinear Least Squares Regression Method.
- …
- Counter-Example(s):
- See: Generalized Least Squares.
References
2008
- (Wang & Leblanc, 2008) ⇒ Liqun Wang, and Alexandre Leblanc. (2008). “Second-order Nonlinear Least Squares Estimation." Annals of the Institute of Statistical Mathematics 60, no. 4
- QUOTE: … form Qn(γ). Like ordinary nonlinear least squares estimation, this can be done using standard procedures such as Newton-Raphson, which is available in most mathematical or statistical computer packages. ...