Results 31 to 40 of about 14,001 (154)
Errors-in-Variables Anisotropic Extended Orthogonal Procrustes Analysis [PDF]
This letter presents a novel total least squares (TLS) solution of the anisotropic row-scaling Procrustes problem. The ordinary LS Procrustes approach finds the transformation parameters between origin and destination sets of observations minimizing ...
Crosilla, Fabio +2 more
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Properties of the total least squares estimation
Through theoretical derivation, some properties of the total least squares estimation are found. The total least squares estimation is the linear transformation of the least squares estimation, and the total least squares estimation is unbiased.
Wang Leyang
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State-of-charge (SOC) estimation of lithium-ion batteries (LIBs) is the basis of other state estimations. However, its accuracy can be affected by many factors, such as temperature and ageing.
Xin Lai +7 more
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The linear relationship between two stable water isotopes (δD and δ18O) has been used to examine the physical processes and movements or changes of three water phases (water vapor, liquid water and ice), including deuterium excess.
Jeonghoon Lee +3 more
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The Maximum Likelihood PCA (MLPCA) method has been devised in chemometrics as a generalization of the well-known PCA method in order to derive consistent estimators in the presence of errors with known error distribution.
Markovsky, Ivan +2 more
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Simultaneous Prediction of Actual and Average Values of Study Variable Using Stein-rule Estimators [PDF]
The simultaneous prediction of average and actual values of study variable in a linear regression model is considered in this paper. Generally, either of the ordinary least squares estimator or Stein-rule estimators are employed for the construction of ...
Heumann, Christian, Shalabh, Shalabh
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Total Least Squares Method for Robust Source Localization in Sensor Networks Using TDOA Measurements
The TDOA-based source localization problem in sensor networks is considered with sensor node location uncertainty. A total least squares (TLSs) algorithm is developed by a linear closed-form solution for this problem, and the uncertainty of the sensor ...
Yang Weng, Wendong Xiao, Lihua Xie
doaj +1 more source
Linear-regression models and algorithms based on the Total-Least-Squares principle
In classical regression analysis, the error of independent variable is usually not taken into account in regression analysis. This paper presents two solution methods for the case that both the independent and the dependent variables have errors.
Ding Shijun, Jiang Weiping, Shen Zhijuan
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A NEW APPROACH FOR SUBWAY TUNNEL DEFORMATION MONITORING: HIGH-RESOLUTION TERRESTRIAL LASER SCANNING [PDF]
With the improvement of the accuracy and efficiency of laser scanning technology, high-resolution terrestrial laser scanning (TLS) technology can obtain high precise points-cloud and density distribution and can be applied to high-precision deformation
J. Li, Y. Wan, X. Gao
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When the total least squares (TLS) solution is used to solve the parameters in the errors-in-variables (EIV) model, the obtained parameter estimations will be unreliable in the observations containing systematic errors.
Leyang Wang, Luyun Xiong, Tao Chen
doaj +1 more source

