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

# 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 square from wikipedia

- the method of least squares is a standard approach to the approximate solution of overdetermined system s, i.e., sets of equations in
- in statistics , ordinary least squares (ols) or linear least squares is a method for estimating the unknown parameters in a linear
- in statistics and mathematics , linear least squares is an approach fitting a mathematical or statistical model to data in cases where
- in statistics , generalized least squares (gls) is a technique for estimating the unknown parameter s in a linear regression model.
- total least squares, also known as errors in variables, rigorous least squares, or (in a special case) orthogonal regression, is a least
- non-linear least squares is the form of least squares analysis which is used to fit a set of m observations with a model that is non-linear
- least-squares spectral analysis (lssa) is a method of estimating a frequency spectrum , based on a least squares fit of sinusoid s to data
- linear least squares, is one of the mathematics/statistical problem solving methods, using least squares algorithmic technique to increase
- the recursive least squares (rls) adaptive filter is an algorithm which recursively finds the filter coefficients that minimize a weighted
- partial least squares regression (pls regression) is a statistical method that bears some relation to principal components regression ;