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Total least squares

Known as: Least products regression, Standardised major axis regression, Reduced major axis regression 
In applied statistics, total least squares is a type of errors-in-variables regression, a least squares data modeling technique in which… 
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Related topics

Related topics

13 relations
Curve fittingDirect linear transformationEight-point algorithmErrors-in-variables models

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2010
2010
Solving regularized total least squares problems based on eigenproblems
The total least squares (TLS) method is a successful approach for linear problems if both the system matrix and the right hand… 
Highly Cited
2008
Highly Cited
2008
A parsimonious combination of functional traits predicting plant response to disturbance and soil fertility
Abstract Questions: 1. How many traits associated with persistence and regeneration are necessary to predict the response of… 
2008
2008
Vertical distribution of mercury, CO, ozone, and aerosol scattering coefficient in the Pacific Northwest during the spring 2006 INTEX‐B campaign
[1] In the spring of 2006, we measured the vertical distribution of gaseous elemental mercury (GEM), CO, ozone, and aerosol… 
2008
2008
A Quadratic Constraint Total Least-squares Algorithm for Hyperbolic Location
A novel algorithm for source location by utilizing the time difference of arrival (TDOA) measurements of a signal received at… 
Highly Cited
2005
Highly Cited
2005
Perceptual audio modeling with exponentially damped sinusoids
Review
2002
Review
2002
Structured Total Least Squares
In this paper an overview is given of the Structured Total Least Squares (STLS) approach and its recent extensions. The… 
Review
1997
Review
1997
Regularization algorithms based on total least squares
Discretizations of inverse problems lead to systems of linear equations with a highly ill-conditioned coeecient matrix, and in… 
1996
1996
Robot localization from landmarks using recursive total least squares
In the robot navigation problem, noisy sensor data must be filtered to obtain the best estimate of the robot position. We propose… 
1996
1996
On the equivalence of constrained total least squares and structured total least squares
Several extensions of the total least squares (TLS) method that are able to calculate a structured rank deficient approximation… 
1991
1991
Recursive total-least-squares adaptive filtering
In this paper a recursive total least squares (RTLS) adaptive filter is introduced and studied. The TLS approach is more… 
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