QXRD data correction by weighted least squares
Resurrecting weighted least squares
... abandon weighted least squares, but to consider alternative inference methods that offer improved higher-order asymptotic accuracy (and thus translate to improved finite-sample ...
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Weighted least squares and adaptive least squares: further empirical evidence
... using weighted least squares (WLS), also in conjunction with HC standard ...adaptive least squares (ALS), where it is ‘decided’ from the data whether the applied researcher ...
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On weighted structured total least squares
... www.esat.kuleuven.ac.be/sista/members/vanhuffel.html Abstract. In this contribution we extend our previous results on the structured total least squares problem to the case of weighted cost func- ...
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Implicitly-weighted total least squares
... standard least squares problems, for which A = 0, and data least squares prob- lems, for which B = 0, as weighted and scaled TLS ...
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On the Equivalence of the Weighted Least Squares and the Generalised Least Squares Estimators, with Applications to Kernel Smoothing
... Abstract The paper establishes the conditions under which the generalised least squares estima- tor of the regression parameters is equivalent to the weighted least squares estimator. ...
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On the Equivalence of the Weighted Least Squares and the Generalised Least Squares Estimators, with Applications to Kernel Smoothing
... Abstract The paper establishes the conditions under which the generalised least squares estima- tor of the regression parameters is equivalent to the weighted least squares estimator. ...
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Weighted Majorization Algorithms for Weighted Least Squares Decomposition Models
... many least-squares decomposition models efficient algorithms are well ...is weighted by a nonnegative ...missing data. Kiers (1997) discusses an algorithm for minimizing weighted ...
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Weighted-average least squares (WALS): A survey
... called weighted-average least squares (WALS), is a Bayesian combination of frequentist estimators, and it has advantages over other model-average methods that will be discussed ...
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A weighted least squares solution for space intersection of spaceborne stereo SAR data
... A Weighted Least Squares Solution for Space Intersection of Spaceborne Stereo SAR Data Pu-Huai Chen and Ian ...ERS data without using any ground control points (GCPs), where the high ...
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A Comparison Of Ordinary Least Squares, Weighted Least Squares, And Other Procedures When Testing For The Equality Of Regression
... ordinary least squares (OLS) estimation, extant research has shown that the standard F performs poorly when the critical assumption of homoscedasticity is violated, resulting in increased Type I error rates ...
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The element wise weighted total least squares problem
... total least-squares method yields an inconsistent estimate of the parameter in this ...total least-squares problem, called element-wise weighted total least-squares, is ...
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Tikhonov regularization for weighted total least squares problems
... regularized weighted total least squares (RWTLS) ...the weighted total least squares problem is based on the Tikhonov regularization [ 1 ...total least squares ...
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Study of State Estimation Using Weighted Least Squares Method
... measurement data. This paper describes weighted least squares state estimation method and investigates how the efficiency of WLS state estimation changes according to 4 ...
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Weighted Least Squares for a Nearly Perfect Min Max Fit
... the least squares poly- nomial approximation is repeated as weight in a second, now weighted, least squares approximation, then this new, second, approximation is nearly perfect in the ...
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Weighted Total Least Squares (WTLS) Solutions for Straight Line Fitting to 3D Point Data
... weighted and uncorrelated coordinate components was already presented almost forty years ago. For more general weighting cases, iterative algorithms, e.g., by means of an iteratively linearized Gauss–Helmert (GH) ...
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Asymptotic properties of weighted least squares estimation in weak parma models
... the weighted least squares estimators for invertible and causal PARMA models with dependent but uncorrelated ...analysing data from PARMA models with dependent ...
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MATHICSE Technical Report : Multilevel weighted least squares polynomial approximation
... The remainder of this paper is structured as follows. In Section 2, we review the theoretical analysis of weighted least squares approximation. In Section 3, we discuss different sampling strategies. ...
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An extension of RSS-based model comparison tests for weighted least squares
... ordinary least squares to weighted least squares through a change of variables designed to account for a heteroscedastic error ...
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Exact optimal designs for weighted least squares analysis with correlated errors
... for weighted least squares estimation in the common linear and quadratic regression model with correlated ...the data and, if a parametric model for the bacterial growth has been fixed, each ...
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Asymptotic Properties of the Weighted Least Squares Estimator Under Moments Restriction
... 1 Introduction The aim of this work is to review the paper by Hellerstein & Imbens (1982) focusing on the use of auxiliary data and a formal derivation of the asymptotic properties of the underlying ...
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