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...

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...

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...

The partial least squares path modeling or partial least squares structural equation modeling (PLS-PM, PLS-SEM) is a method for structural equation modeling...

in a map and can be grouped together. Parcel adjustment using least squares adjustment is way to adjust parcel fabric to find the optimal position for...

set of explanatory variables) by the principle of least squares: minimizing the sum of the squares of the differences between the observed dependent variable...

be measured with two sums of squares formulas: The sum of squares of residuals, also called the residual sum of squares: S S res = ∑ i ( y i − f i ) 2...

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...

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...

license. mcba: Multi-Core Bundle Adjustment (CPU/GPU). GPL3. libdogleg: General-purpose sparse non-linear least squares solver, based on Powell's dogleg...

theory Function approximation Goodness of fit Genetic programming Least-squares adjustment Levenberg–Marquardt algorithm Line fitting Linear interpolation...

coordinate system of the control network. Error can be distributed by least squares adjustment. Upon completion of observations and calculations, a coordinate...

et al., Radio Positioning at Sea: Geodetic Survey Computations Least Squares Adjustment, 1995 (ISBN 90-6275-537-2) Wikimedia Commons has media related...

Least mean squares (LMS) algorithms are a class of adaptive filter used to mimic a desired filter by finding the filter coefficients that relate to producing...

airport code of Losuia Airport in Papua New Guinea Late Stone Age Least squares adjustment Anterolateral central arteries of the brain Lichen sclerosus et...

damped least-squares (DLS) method, is used to solve non-linear least squares problems. These minimization problems arise especially in least squares curve...

used in a Unified WGS Solution (a large scale least squares adjustment). The results of the adjustment consisted of corrections to initial station coordinates...

clock offset are computed exactly, but rather estimated through a least squares adjustment procedure known from geodesy. To describe this imprecision, so-called...

ISSN 0034-6861. Cohen, E. Richard; Taylor, B. N. (1973). "The 1973 Least-Squares Adjustment of the Fundamental Constants". Journal of Physical and Chemical...

during the period of 1966–1968. The datum surface is based upon a least squares adjustment of the original, ‘primary’ levelling data spanning 97,320 km, combined...

are used to determine the ellipsoid parameters by the method of least squares adjustment. The parameters determined are usually the semi-major axis, a {\displaystyle...

Institute. Accessed: 2008-10-15. Deming, WE; Stephan, F (1940). "On a least squares adjustment of a sampled frequency table when the expected marginal totals...

survey observations which could be computed in a simultaneous least-squares adjustment. Reconnaissance of survey stations was commenced in 1935, using...

often assumed to be that which minimizes the sum of squared residuals. This is the ordinary least squares (OLS) approach. However, in cases where the dependent...

Polynomial regression models are usually fit using the method of least squares. The least-squares method minimizes the variance of the unbiased estimators of...

the single-vector one-by-one technique. Non-linear iterative partial least squares (NIPALS) is a variant the classical power iteration with matrix deflation...

The Adjustment Bureau. Wikimedia Commons has media related to The Adjustment Bureau. The Adjustment Bureau at IMDb  The Adjustment Bureau at AllMovie...

"observation planes" containing the stations and the targets, and the least-squares adjustment of stellar-terrestrial networks with redundancy. The advantages...

dependent variable. Standard types of regression, such as ordinary least squares, have favourable properties if their underlying assumptions are true...