Linear least squares
From Wikipedia, the free encyclopedia
| This is the current revision of this page, as edited by Marcocapelle (talk | contribs) at 20:40, 18 November 2016 (removed Category:Regression analysis using HotCat). The present address (URL) is a permanent link to this version. |
Linear least squares is a method of solving mathematics/statistical problems. It uses least squares algorithmic technique to increase accuracy of solution approximations, corresponding with a particular problem's complexity:
- Linear least squares (mathematics); also ordinary least squares (mathematics), or numerical methods for linear/ordinary least squares; concerning the mathematics and computational aspects of the corresponding optimisation problem
- Linear regression, concerning the statistical context in which linear least squares often arises. Special cases are:
- Simple linear regression or straight line regression
- Ordinary least squares (statistics) or Linear least squares (statistics)
- Weighted least squares
- Generalized least squares
- Linear regression, concerning the statistical context in which linear least squares often arises. Special cases are:
| This disambiguation page lists articles associated with the title Linear least squares. If an internal link led you here, you may wish to change the link to point directly to the intended article. |