Results 41 to 50 of about 61,800 (289)
Japan journal of industrial and applied mathematics, 2022 Dynamic mode decomposition (DMD) has attracted much attention in recent years as an analysis method for time series data. In this paper, we perform asymptotic analysis on the DMD to prove strong consistency in the statistical sense. More specifically, we
Kensuke Aishima
semanticscholar +1 more source
Mathematical Problems in Engineering, 2022 After a fault occurs in a high-voltage direct current transmission (HVDC) line, the natural frequency of the fault wave contains a wealth of transient information.
W. Cao, X. Chen, Zhaohui Li
semanticscholar +1 more source
Properties of the total least squares estimation
Geodesy and Geodynamics, 2012 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
doaj +1 more source
Energies, 2022 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
doaj +1 more source
Errors-in-Variables Anisotropic Extended Orthogonal Procrustes Analysis [PDF]
, 2017 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
core +1 more source
, 2007 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
core +1 more source
Simultaneous Prediction of Actual and Average Values of Study Variable Using Stein-rule Estimators [PDF]
, 2011 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
core +1 more source
Total Least Squares Method for Robust Source Localization in Sensor Networks Using TDOA Measurements
International Journal of Distributed Sensor Networks, 2011 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
Geodesy and Geodynamics, 2012 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
doaj +1 more source
A NEW APPROACH FOR SUBWAY TUNNEL DEFORMATION MONITORING: HIGH-RESOLUTION TERRESTRIAL LASER SCANNING [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 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
doaj +1 more source