Results 21 to 30 of about 447,526 (198)
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 weightedtotal least squares method for parameter estimation of errorsin-variables models with quadratic regressors. The statistics oferror is analyzed to fill in the gap between basic assumptions inweighted total least squares and our case.
Liu, Peng +3 more
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Bias Correction in Logarithmic Regression and Comparison with Weighted Regression for Nonlinear Models [PDF]
, 2011 Non-linear models with heteroscedasticity are commonly used in ecological and forestry modeling, and logarithmic regression and weighted regression are usually employed to estimate the parameters. Using the single-tree biomass data of three large samples,
Shou Zheng Tang, Wei Sheng Zeng
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RSS-based sensor localization with unknown transmit power [PDF]
, 2011 Received signal strength (RSS)-based single source localization when there is not a prior knowledge about the transmit power of the source is investigated.
Gholami, Mohammad Reza +2 more
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Tikhonov regularization for weighted total least squares problems
Applied Mathematics Letters, 2007 A general version of Tikhonov's formulation for the linear weighted total least squares (WTLS) problem has been considered by \textit{G. H. Golub} and \textit{C. F. van Loan} [SIAM J. Numer. Anal. 17, 883--893 (1980; Zbl 0468.65011)]. The present paper focus on the regularized weighted total least squares (RWTLS) formulation. It is shown that the RWTLS
Wei, Yimin +3 more
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Sparsity-Cognizant Total Least-Squares for Perturbed Compressive Sampling [PDF]
, 2010 Solving linear regression problems based on the total least-squares (TLS) criterion has well-documented merits in various applications, where perturbations appear both in the data vector as well as in the regression matrix.
Geert Leus +4 more
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Biomass equations for Castanea sativa high forest in the Northwest of Portugal [PDF]
, 2004 There is considerable interest today in estimating the biomass of trees and forests for practical forestry issues, sustainable management, carbon and nutrient flux and other scientific purposes.
Monteiro, Maria do Loreto +2 more
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, 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
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European Journal of Remote Sensing, 2023 Many freely available Digital Elevation Models (DEM) have increasingly been used worldwide due to the difficulty in acquiring accurate elevation data in some regions, emphasizing the need to investigate their accuracy and the factors that may influence ...
Zuleide Ferreira +2 more
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On a Problem of Weighted Low-Rank Approximation of Matrices
, 2017 We study a weighted low rank approximation that is inspired by a problem of constrained low rank approximation of matrices as initiated by the work of Golub, Hoffman, and Stewart (Linear Algebra and Its Applications, 88-89(1987), 317-327).
Dutta, Aritra, Li, Xin
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Algorithms and statistical analysis for linear structured weighted total least squares problem
Geodesy and GeodynamicsWeighted 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
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