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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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Papers overview

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2010
2010
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
Abstract Questions: 1. How many traits associated with persistence and regeneration are necessary to predict the response of… 
2008
2008
[1] In the spring of 2006, we measured the vertical distribution of gaseous elemental mercury (GEM), CO, ozone, and aerosol… 
2008
2008
A novel algorithm for source location by utilizing the time difference of arrival (TDOA) measurements of a signal received at… 
Review
2002
Review
2002
In this paper an overview is given of the Structured Total Least Squares (STLS) approach and its recent extensions. The… 
Review
1997
Review
1997
Discretizations of inverse problems lead to systems of linear equations with a highly ill-conditioned coeecient matrix, and in… 
1996
1996
In the robot navigation problem, noisy sensor data must be filtered to obtain the best estimate of the robot position. We propose… 
1996
1996
Several extensions of the total least squares (TLS) method that are able to calculate a structured rank deficient approximation… 
1991
1991
In this paper a recursive total least squares (RTLS) adaptive filter is introduced and studied. The TLS approach is more…