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

Square

Square Square, v. i. 1. To accord or agree exactly; to be consistent with; to conform or agree; to suit; to fit. No works shall find acceptamce . . . That square not truly with the Scripture plan. --Cowper. 2. To go to opposite sides; to take an attitude of offense or defense, or of defiance; to quarrel. [Obs.] Are you such fools To square for this? --Shak. 3. To take a boxing attitude; -- often with up, sometimes with off. [Colloq.] --Dickens.

Square Square, v. i. 1. To accord or agree exactly; to be consistent with; to conform or agree; to suit; to fit. No works shall find acceptamce . . . That square not truly with the Scripture plan. --Cowper. 2. To go to opposite sides; to take an attitude of offense or defense, or of defiance; to quarrel. [Obs.] Are you such fools To square for this? --Shak. 3. To take a boxing attitude; -- often with up, sometimes with off. [Colloq.] --Dickens.

- seen as a square with directed edges. Every acute triangle has three inscribed squares (squares in its interior such that all four of a square's vertices...

- that for least squares. Least-squares problems fall into two categories: linear or ordinary least squares and nonlinear least squares, depending on whether...

- discovered: by bordering method, by making composite magic squares, and by adding two preliminary squares. There are also more specific strategies like the continuous...

- 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 statistics, ordinary least squares (OLS) is a type of linear least squares method for estimating the unknown parameters in a linear regression model...

- total sum of squares = explained sum of squares + residual sum of squares. For a proof of this in the multivariate ordinary least squares (OLS) case, see...

- Squaring the square is the problem of tiling an integral square using only other integral squares. (An integral square is a square whose sides have integer...

- residuals in a regression model. In these cases, ordinary least squares and weighted least squares can be statistically inefficient, or even give misleading...

- Mayeno, Arthur N. (eds.), "Partial Least Squares Methods: Partial Least Squares Correlation and Partial Least Square Regression", Com****tional Toxicology...

- Weighted least squares (WLS), also known as weighted linear regression, is a generalization of ordinary least squares and linear regression in which the...

- that for least squares. Least-squares problems fall into two categories: linear or ordinary least squares and nonlinear least squares, depending on whether...

- discovered: by bordering method, by making composite magic squares, and by adding two preliminary squares. There are also more specific strategies like the continuous...

- 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 statistics, ordinary least squares (OLS) is a type of linear least squares method for estimating the unknown parameters in a linear regression model...

- total sum of squares = explained sum of squares + residual sum of squares. For a proof of this in the multivariate ordinary least squares (OLS) case, see...

- Squaring the square is the problem of tiling an integral square using only other integral squares. (An integral square is a square whose sides have integer...

- residuals in a regression model. In these cases, ordinary least squares and weighted least squares can be statistically inefficient, or even give misleading...

- Mayeno, Arthur N. (eds.), "Partial Least Squares Methods: Partial Least Squares Correlation and Partial Least Square Regression", Com****tional Toxicology...

- Weighted least squares (WLS), also known as weighted linear regression, is a generalization of ordinary least squares and linear regression in which the...

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