Results 261 to 270 of about 450,020 (291)
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A robust weighted total least squares algorithm and its geodetic applications
Studia Geophysica et Geodaetica, 2015Total least squares (TLS) can solve the issue of parameter estimation in the errors-invariables (EIV) model, however, the estimated parameters are affected or even severely distorted when the observation vector and coefficient matrix are contaminated by gross errors.
Bin Wang, Jiancheng Li, Chao Liu
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Weighted total least squares solutions for applications in geodesy
2011[no abstract]
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Bias-Corrected Weighted Total Least-Squares Adjustment of Condition Equations
Journal of Surveying Engineering, 2015AbstractThe total least-squares (TLS) method and its variations have recently received increasing research attention. However, little attention has been given to the weighted TLS adjustment method with condition equations. In this paper, a weighted TLS method designed for condition equations (WTLSC) is presented with the assumption that both the ...
Xiaohua Tong +4 more
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IEEE Transactions on Instrumentation and Measurement, 1998
The aim of the present paper is to develop a parametric estimator for linear time-invariant multivariable systems with nearly maximum likelihood properties. The estimator is based on the total least squares (TLS) method. It can be seen as an "optimally" weighted iterative generalized total least squares (GTLS) estimator, combining the nice asymptotic ...
Patrick Guillaume +2 more
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The aim of the present paper is to develop a parametric estimator for linear time-invariant multivariable systems with nearly maximum likelihood properties. The estimator is based on the total least squares (TLS) method. It can be seen as an "optimally" weighted iterative generalized total least squares (GTLS) estimator, combining the nice asymptotic ...
Patrick Guillaume +2 more
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On non-combinatorial weighted total least squares with inequality constraints
Journal of Geodesy, 2014Observation systems known as errors-in-variables (EIV) models with model parameters estimated by total least squares (TLS) have been discussed for more than a century, though the terms EIV and TLS were coined much more recently. So far, it has only been shown that the inequality-constrained TLS (ICTLS) solution can be obtained by the combinatorial ...
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Parameter-weighed performance in total least squares lterativ solutions
Mathematical Modelling of Systems, 1995The parameter-weighted square of the error matrix E is used as a basis for total least squares optimization, i.e., is utilized either instead of or in supplementation to it. the multiplicity of the solution and computational aspects are presented in concise form, in comparison to the conventional methods of total least sqrares, model least squares and ...
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Recursive approximate weighted total least squares estimation of battery cell total capacity
Journal of Power Sources, 2011Abstract Battery cell total capacity refers to the total amount of charge that can be extracted from a fully charged cell. Knowledge of the present total capacity value is important to being able to calculate the maximum energy storage capability of a battery pack, the remaining energy in a battery pack, and as an indicator of the battery’s state of ...
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Weighted Constrained Total Least Squares for Bearing-Only Target Localization
Advanced Materials Research, 2012Paper has been removed due to suspected plagiarism.
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Weighted Total Least Squares, Rank Deficiency and Linear Matrix Structures
2002In this contribution we explain how the rank deficiency of a given data matrix, its linear matrix structure and its interpretation in terms of discrete-time dynamical systems, are intimately connected. This relation permits to formulate least squares dynamical system identification problems, the solution of which leads to structured total least squares.
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Neither fixed nor random: weighted least squares meta‐analysis
Statistics in Medicine, 2015T D Stanley, Hrístos Doucouliagos
exaly

