Results 131 to 140 of about 3,168,234 (244)
A robust partial least squares method with applications [PDF]
Partial least squares regression (PLS) is a linear regression technique developed to relate many regressors to one or several response variables. Robust methods are introduced to reduce or remove the effect of outlying data points.
Romera, Rosario +2 more
core +1 more source
Reweighted Least Trimmed Squares: An Alternative to One-Step Estimators [PDF]
A new class of robust regression estimators is proposed that forms an alternative to traditional robust one-step estimators and that achieves the √n rate of convergence irrespective of the initial estimator under a wide range of distributional ...
Cizek, P.
core
Weighted least squares fitting using ordinary least squares algorithms
weighted least squares, alternating least squares, missing data, algorithms, majorization, matrix approximation, maximum likelihood estimation,
Kiers, Henk A.L. +2 more
core +1 more source
New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare +5 more
wiley +1 more source
4D Flow MRI Pressure Estimation Using Velocity Measurement-Error-Based Weighted Least-Squares. [PDF]
Zhang J +7 more
europepmc +1 more source
Digitalizing electroplating requires both domain knowledge and interoperability. This work introduces PlatOn, a domain ontology for trivalent chromium plating and coating characterization, and a hybrid pipeline that aligns it to a mid‐level reference ontology by combining eight similarity metrics with language model reasoning. Expert‐validated mappings
Janik Harter +10 more
wiley +1 more source
Consistent least squares fitting of ellipsoids
A parameter estimation problem for ellipsoid fitting in the presence of measurement errors is considered. The ordinary least squares estimator is inconsistent, and due to the nonlinearity of the model, the orthogonal regression estimator is inconsistent ...
Van Huffel, S. +2 more
core +1 more source
Solvate ionic liquids lubrication reduced the coefficient of friction by ∼60% compared to dry sliding, reaching steady‐state values as low as 0.04–0.05. Corrosion weight‐loss measurements in 1 M HCl further demonstrated significant inhibition behavior, with only 100 ppm of [Li(G3)][TFSI] (∼68.5 μL/L) reducing corrosion‐product weight loss by 63 ...
Sameh Dabees +6 more
wiley +1 more source
Robust constrained weighted least squares for in vivo human cardiac diffusion kurtosis imaging. [PDF]
Coveney S +6 more
europepmc +2 more sources
Efficient Robust Estimation of Regression Models (Revision of DP 2006-08) [PDF]
This paper introduces a new class of robust regression estimators. The proposed twostep least weighted squares (2S-LWS) estimator employs data-adaptive weights determined from the empirical distribution, quantile, or density functions of regression ...
Cizek, P.
core

