Least-squares spectral analysis (LSSA) is a method of estimating a frequency spectrum based on a least-squares fit of sinusoids to data samples, similar...
28 KB (3,354 words) - 11:45, 30 May 2024
The method of least squares is a parameter estimation method in regression analysis based on minimizing the sum of the squares of the residuals (a residual...
39 KB (5,553 words) - 14:10, 25 August 2024
Weighted least squares (WLS), also known as weighted linear regression, is a generalization of ordinary least squares and linear regression in which knowledge...
14 KB (2,249 words) - 06:44, 14 June 2024
Least-squares spectral analysis, based on least squares fitting to known frequencies Lomb–Scargle periodogram, an approximation of the Least-squares spectral...
23 KB (3,534 words) - 13:53, 8 May 2024
In applied statistics, total least squares is a type of errors-in-variables regression, a least squares data modeling technique in which observational...
20 KB (3,293 words) - 11:06, 20 May 2024
mathematical optimization, the problem of non-negative least squares (NNLS) is a type of constrained least squares problem where the coefficients are not allowed...
8 KB (880 words) - 10:17, 25 August 2024
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...
18 KB (2,844 words) - 18:25, 20 August 2024
Linear least squares (LLS) is the least squares approximation of linear functions to data. It is a set of formulations for solving statistical problems...
34 KB (5,374 words) - 13:41, 18 July 2024
of methods are known as bilinear factor models. Partial least squares discriminant analysis (PLS-DA) is a variant used when the Y is categorical. PLS...
23 KB (2,926 words) - 00:39, 30 June 2024
Polynomial regression (redirect from Polynomial least squares)
in terms of the unknown parameters β0, β1, .... Therefore, for least squares analysis, the computational and inferential problems of polynomial regression...
16 KB (2,426 words) - 10:28, 25 August 2024