Definition of Least squares. Meaning of Least squares. Synonyms of Least squares

Here you will find one or more explanations in English for the word Least squares. Also in the bottom left of the page several parts of wikipedia pages related to the word Least squares and, of course, Least squares synonyms and on the right images related to the word Least squares.

Definition of Least squares

Least squares
Least Least, a. [OE. last, lest, AS. l?sast, l?sest, superl. of l?ssa less. See Less, a.] [Used as the superlative of little.] Smallest, either in size or degree; shortest; lowest; most unimportant; as, the least insect; the least mercy; the least space. Note: Least is often used with the, as if a noun. I am the least of the apostles. --1 Cor. xv. 9. At least, or At the least, at the least estimate, consideration, chance, etc.; hence, at any rate; at all events; even. See However. He who tempts, though in vain, at least asperses The tempted with dishonor. --Milton. Upon the mast they saw a young man, at least if he were a man, who sat as on horseback. --Sir P. Sidney. In least, or In the least, in the least degree, manner, etc. ``He that is unjust in the least is unjust also in much.' --Luke xvi. 10. Least squares (Math.), a method of deducing from a number of carefully made yet slightly discordant observations of a phenomenon the most probable values of the unknown quantities. Note: It takes as its fundamental principle that the most probable values are those which make the sum of the squares of the residual errors of the observation a minimum.

Meaning of Least squares from wikipedia

- In regression analysis, least squares is a parameter estimation method in which the sum of the squares of the residuals (a residual being the difference...
- Linear least squares (LLS) is the least squares approximation of linear functions to data. It is a set of formulations for solving statistical problems...
- In applied statistics, total least squares is a type of errors-in-variables regression, a least squares data modeling technique in which observational...
- Weighted least squares (WLS), also known as weighted linear regression, is a generalization of ordinary least squares and linear regression in which knowledge...
- Least-squares adjustment is a model for the solution of an overdetermined system of equations based on the principle of least squares of observation residuals...
- set of explanatory variables) by the principle of least squares: minimizing the sum of the squares of the differences between the observed dependent variable...
- Non-linear least squares is the form of least squares analysis used to fit a set of m observations with a model that is non-linear in n unknown parameters...
- In statistics, generalized least squares (GLS) is a method used to estimate the unknown parameters in a linear regression model. It is used when there...
- In constrained least squares one solves a linear least squares problem with an additional constraint on the solution. This means, the unconstrained equation...
- Moving least squares is a method of reconstructing continuous functions from a set of unorganized point samples via the calculation of a weighted least squares...