Implications of Nonstationary Effect on Geographically Weighted Total Least Squares Regression for PM2.5 Estimation. [PDF]
Int J Environ Res Public Health, 2021 Land use regression (LUR) models are used for high-resolution air pollution assessment. These models use independent parameters based on an assumption that these parameters are accurate and invariable; however, they are observational parameters derived ...
Mokhtari A, Tashayo B, Deilami K.
europepmc +2 more sources
Algorithms and statistical analysis for linear structured weighted total least squares problem
Geodesy and Geodynamics, 2023 Weighted total least squares (WTLS) have been regarded as the standard tool for the errors-in-variables (EIV) model in which all the elements in the observation vector and the coefficient matrix are contaminated with random errors.
Jian Xie +4 more
doaj +2 more sources
Multivariate Weighted Total Least Squares Based on the Standard Least-Squares Theory
Journal of Surveying Engineering, 2023 Optical and Laser Remote ...
S. Gholinejad, A. Amiri-Simkooei
semanticscholar +4 more sources
On weighted structured total least squares [PDF]
, 2006 In this contribution we extend the result of (Markovsky et. al, SIAM J. of Matrix Anal. and Appl., 2005) to the case of weighted cost function. It is shown that the computational complexity of the proposed algorithm is preserved linear in the sample size
G. Golub +4 more
core +3 more sources
Total Least Squares Spline Approximation [PDF]
Mathematics, 2019 Spline approximation, using both values y i and x i as observations, is of vital importance for engineering geodesy, e.g., for approximation of profiles measured with terrestrial laser scanners, because it enables the consideration of
Frank Neitzel +2 more
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A Stochastic Total Least Squares Solution of Adaptive Filtering Problem [PDF]
The Scientific World Journal, 2014 An efficient and computationally linear algorithm is derived for total least squares solution of adaptive filtering problem, when both input and output signals are contaminated by noise.
Shazia Javed, Noor Atinah Ahmad
doaj +4 more sources
Weighted Total Least Squares for Quadratic Errors-in-Variables Regression
2023 31st European Signal Processing Conference (EUSIPCO), 2023 In this paper, we present a study on using weighted total least squares method for parameter estimation of errors-in-variables models with quadratic regressors.
Peng Liu +3 more
semanticscholar +3 more sources
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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Weighted total least squares formulated by standard least squares theory [PDF]
Journal of Geodetic Science, 2012 Weighted total least squares formulated by standard least squares theory This contribution presents a simple, attractive, and flexible formulation for the weighted total least squares (WTLS) problem.
A. Amiri-Simkooei, S. Jazaeri
semanticscholar +2 more sources
PERFORMING IMPROVED TWO-STEP CAMERA CALIBRATION WITH WEIGHTED TOTAL LEAST-SQUARES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 In order to improve the Tsai's two-step camera calibration method, we present a camera model which accounts for major sources of lens distortion, namely: radial, decentering, and thin prism distortions.
J. Lu
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