Results 41 to 50 of about 415,219 (164)
Weighted Total Least Squares (WTLS) Solutions for Straight Line Fitting to 3D Point Data
Mathematics, 2020 In this contribution the fitting of a straight line to 3D point data is considered, with Cartesian coordinates xi, yi, zi as observations subject to random errors.
Georgios Malissiovas +3 more
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Chinese Journal of Mechanical Engineering, 2023 Online parameter identification is essential for the accuracy of the battery equivalent circuit model (ECM). The traditional recursive least squares (RLS) method is easily biased with the noise disturbances from sensors, which degrades the modeling ...
Xinghao Du +6 more
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Total Least Squares Estimation in Hedonic House Price Models
ISPRS International Journal of Geo-InformationIn real estate valuation using the Hedonic Price Model (HPM) estimated via Ordinary Least Squares (OLS) regression, subjectivity and measurement errors in the independent variables violate the Gauss–Markov theorem assumption of a non-random coefficient ...
Wenxi Zhan +5 more
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Operational Transfer Path Analysis with Total Least Squares Method
水下无人系统学报Operational transfer path analysis(OTPA) utilizes response data under different working conditions to decompose and predict vibration noise and is therefore widely used in various engineering fields.
Juntao GUI +3 more
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An Introduction to Total Least Squares
, 1996 The method of ``Total Least Squares'' is proposed as a more natural way (than ordinary least squares) to approximate the data if both the matrix and and the right-hand side are contaminated by ``errors''. In this tutorial note, we give a elementary unified view of ordinary and total least squares problems and their solution.
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Improving Ensemble Forecasting Using Total Least Squares and Lead-Time Dependent Bias Correction
Atmosphere, 2020 Numerical weather prediction (NWP) models produce a quantitative precipitation forecast (QPF), which is vital for a wide range of applications, especially for accurate flash flood forecasting.
Aida Jabbari, Deg-Hyo Bae
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Total Least Squares and Chebyshev Norm
Procedia Computer Science, 2015 AbstractWe investigate the total least square problem (TLS) with Chebyshev norm instead of the traditionally used Frobenius norm. The use of Chebyshev norm is motivated by the need for robust solutions. In order to solve the problem, we introduce interval computation and use many of the results obtained there.
Milan Hladík, Michal Cerný
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Use of Total Least Squares Adjustment in Geodetic Applications
Applied SciencesThis article discusses the method of computing the values of the unknowns under the condition of the minimum sum of the squares of the residuals of the observations, also known as the least squares method, with the additional condition of taking into ...
Aleš Marjetič +2 more
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On weighted total least squares adjustment for solving the nonlinear problems
Journal of Geodetic Science, 2014 In the classical geodetic data processing, a non- linear problem always can be converted to a linear least squares adjustment. However, the errors in Jacob matrix are often not being considered when using the least square method to estimate the optimal ...
Hu C., Chen Y., Peng Y.
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Remote Sensing, 2016 Global sea-surface temperatures (SST) from MODIS measured brightness temperatures generated using the regression methods, have been available to users for more than a decade, and are used extensively for a wide range of atmospheric and oceanic studies ...
Prabhat K. Koner, Andy Harris
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