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Regularized Iterative Weighted Total Least Squares for Vehicle Mass Estimation

IFAC-PapersOnLine
Hugo Koide, Jeremy Vayssettes, Guillaume Mercère   +2 more
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Efficacy and Safety of Pelubiprofen for Primary Dysmenorrhea: A Multicenter, Randomized, Double-Blind, Placebo-Controlled, Two-Period Crossover Trial. [PDF]

J Clin Med
Park JH, Lee I, Choo SP, Lee JH, Hong SH, Joo JK, Park HT, Kim MR, Lee DY, Yi KW, Yoon SH, Shin JH, Lee JR, Kim SH, Cho S, Choi YS.   +15 more
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A mixed weighted least squares and weighted total least squares adjustment method and its geodetic applications

Survey Review, 2016
A mixed weighted least squares (WLS) and weighted total least squares (WTLS) (mixed WLS–WTLS) method is presented for an errors-in-variables (EIV) model with some fixed columns in the design matrix. The numerical computational scheme and an approximate accuracy assessment method are also provided.
Y. Zhou, X. Fang
exaly   +2 more sources

Multivariate Weighted Total Least Squares Based on the Standard Least-Squares Theory

Journal of Surveying Engineering, 2023
Optical and Laser Remote ...
Saeid Gholinejad, Alireza Amiri-Simkooei
openaire   +3 more sources

On weighted total least-squares for geodetic transformations

Journal of Geodesy, 2011
In this contribution, it is proved that the weighted total least-squares (WTLS) approach preserves the structure of the coefficient matrix in errors-in-variables (EIV) model when based on the perfect description of the dispersion matrix. To achieve this goal, first a proper algorithm for WTLS is developed since the quite recent analytical solution for ...
Vahid Mahboub, Mohammad Ali Sharifi
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On the weighting method for mixed least squares–total least squares problems

Numerical Linear Algebra with Applications, 2017
SummaryIt is well known that the standard algorithm for the mixed least squares–total least squares (MTLS) problem uses the QR factorization to reduce the original problem into a standard total least squares problem with smaller size, which can be solved based on the singular value decomposition (SVD).
Qiaohua Liu, Minghui Wang
openaire   +1 more source