Method Squares Least Information
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Least squares
(section The method)
The method of least squares is a standard approach to the approximate solution of overdetermined system s, i.e., sets of equations in...
29 KB (4,171 words) - 16:56, 21 May 2012
Discrete least squares meshless method
The discrete least squares meshless (DLSM) method is a newly introduced meshless method based on the least squares concept....
6 KB (874 words) - 23:16, 26 May 2012
Moving least squares
Moving least squares is a method of reconstructing continuous function s from a set of unorganized point samples via the calculation of a...
3 KB (369 words) - 13:24, 16 October 2011
Iteratively reweighted least squares
The method of iteratively reweighted least squares (IRLS) is used to solve certain optimization problems. It solves objective function s...
5 KB (606 words) - 13:10, 1 April 2012
Ordinary least squares
(section Generalized method of moments)
In statistics , ordinary least squares (OLS) or linear least squares is a method for estimating the unknown parameters in a linear...
45 KB (6,003 words) - 09:56, 29 May 2012
Linear least squares (mathematics)
(redirect from Numerical methods for linear least squares)
In statistics and mathematics , linear least squares is an approach to fitting a...
Orthogonal decomposition methods of solving the least...
41 KB (5,855 words) - 23:13, 15 May 2012
Least-squares spectral analysis
(redirect from Vanicek method)
Least-squares spectral analysis (LSSA) is a method of estimating a frequency spectrum , based on a least squares fit of sinusoid s to data...
22 KB (3,093 words) - 05:31, 9 May 2012
Least trimmed squares
(section Description of method)
Least trimmed squares (LTS), or least trimmed sum of squares, is a robust statistical method that fits a function to a set of data whilst...
3 KB (467 words) - 17:27, 10 May 2012
Linear regression
(redirect from Least squares regression)
(See also Linear least squares (mathematics)Weighted linear...
consistent standard errors is an improved method for use with uncorrelated...
56 KB (7,597 words) - 19:38, 31 May 2012
Partial least squares regression
Partial least squares regression (PLS regression) is a statistical method that bears some relation to principal components regression ;...
13 KB (1,776 words) - 16:12, 31 May 2012
Regression analysis
(section Other methods)
The earliest form of regression was the method of least squares...
All major statistical software packages perform least squares regression...
33 KB (4,476 words) - 09:13, 31 May 2012
Robust regression
(section Least squares alternatives )
Certain widely used methods of regression, such as ordinary least squares , have favourable properties if their underlying assumptions are...
17 KB (2,396 words) - 15:57, 30 April 2012
Levenberg–Marquardt algorithm
(redirect from Damped least squares)
In mathematics and computing, the Levenberg–Marquardt algorithm (LMA, also known as the damped least-squares (DLS) method, provides a...
16 KB (2,282 words) - 22:28, 28 May 2012
Quantile regression
Whereas the method of least squares results in estimates that approximate the conditional mean of the response variable given certain...
12 KB (1,850 words) - 20:23, 23 May 2012
Non-linear least squares
(section Other methods)
Non-linear least squares is the form of least squares analysis which is used to fit...
The basis of the method is to approximate the model by...
24 KB (3,455 words) - 00:22, 17 May 2012
Comparison of general and generalized linear models
Typical estimation method | Least squares , best linear unbiased prediction Bayesian | Special cases | ANOVA , ANCOVA , MANOVA , MANCOVA...
975 B (80 words) - 20:36, 31 May 2012
Least mean squares filter
Least mean squares (LMS) algorithms are a class of adaptive filter used to mimic a...
It is a stochastic gradient descent method in that...
13 KB (2,030 words) - 13:38, 7 May 2012
OLS
Ordinary least squares , a method used in regression analysis for estimating linear model s. Ottawa Linux Symposium Oulun Luistinseura...
478 B (52 words) - 04:07, 1 January 2012
Generalized Gauss–Newton method
The generalized Gauss–Newton method is a generalization of the least-squares method originally described by Carl Friedrich Gauss and of...
381 B (42 words) - 17:46, 19 October 2011
Least squares conformal map
A Least squares conformal map (LSCM) is a 2-D representation of a 3-D shape created using the Least Squares Conformal Mapping Method....
957 B (142 words) - 16:38, 7 March 2012
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