Results 41 to 50 of about 1,053,925 (307)
A Monte Carlo Comparison of Regression Estimators When the Error Distribution is Long-Tailed Symmetric [PDF]
, 2009 The performances of the ordinary least squares (OLS), modified maximum likelihood (MML), least absolute deviations (LAD), Winsorized least squares (WIN), trimmed least squares (TLS), Theil’s (Theil) and weighted Theil’s (Weighted Theil) estimators are ...
Mutan, Oya Can, Şenoğlu, Birdal
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Sequential Sampling for Optimal Weighted Least Squares Approximations in Hierarchical Spaces [PDF]
SIAM Journal on Mathematics of Data Science, 2018 We consider the problem of approximating an unknown function $u\in L^2(D,\rho)$ from its evaluations at given sampling points $x^1,\dots,x^n\in D$, where $D\subset \mathbb{R}^d$ is a general domain and $\rho$ is a probability measure.
B. Arras, M. Bachmayr, A. Cohen
semanticscholar +1 more source
2-D iteratively reweighted least squares lattice algorithm and its application to defect detection in textured images [PDF]
, 2006 In this paper, a 2-D iteratively reweighted least squares lattice algorithm, which is robust to the outliers, is introduced and is applied to defect detection problem in textured images.
Ercil, Aytul +7 more
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Recursive weighted least squares estimation algorithm based on minimum model error principle
Defence Technology, 2021 Kalman filter is commonly used in data filtering and parameters estimation of nonlinear system, such as projectile's trajectory estimation and control. While there is a drawback that the prior error covariance matrix and filter parameters are difficult ...
Xiaoyun Lei, Zhian Zhang
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Iterative Weighted Least Squares Estimators
The Annals of Statistics, 1993 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chen, Jiahua, Shao, Jun
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Weighted Least Squares and Adaptive Least Squares: Further Empirical Evidence [PDF]
, 2017 This paper compares ordinary least squares (OLS), weighted least squares (WLS), and adaptive least squares (ALS) by means of a Monte Carlo study and an application to two empirical data sets. Overall, ALS emerges as the winner: It achieves most or even all of the efficiency gains of WLS over OLS when WLS outperforms OLS, but it only has very limited ...
Sterchi, Martin, Wolf, Michael
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Iterative Weighted Least Squares
, 2022 peerReviewed
Nordhausen, Klaus, Taskinen, Sara
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A new method of weighted choice in InSAR Least Squares unwrapping
Geodesy and Geodynamics, 2012 The decorelation phenomena such as Low-SNR radar signal, shadows and layover caused by topography etc, causes phase data discontinuous and makes the result of unwrapping phase inaccurate or completely wrong.
Liu Weike, Liu Goulin
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AIMS Mathematics, 2021 Let $ B^{a, b}: = \{B_t^{a, b}, t\geq0\} $ be a weighted fractional Brownian motion of parameters $ a > -1 $, $ |b| < 1 $, $ |b| < a+1 $. We consider a least square-type method to estimate the drift parameter $ \theta > 0 $ of the weighted ...
Abdulaziz Alsenafi +2 more
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Closed-form and iterative weighted least squares solutions of Helmert transformation parameters
Journal of Geodetic Science, 2013 The Helmert transformation is the most common transformation between different geodetic systems. In 2-D, in contrast to higher dimensions, it is a well-known procedure how to determine the 4 transformation parameters in a closed form.
Sjöberg L.E.
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