Results 31 to 40 of about 556,024 (263)
On the Least Trimmed Squares Estimator [PDF]
Algorithmica, 2012 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
David M. Mount +4 more
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, 2000 Least trimmed squares (LTS) is a statistical technique for estimation of unknown parameters of a linear regression model and provides a “robust” alternative to the classical regression method based on minimizing the sum of squared residuals.
Čížek, Pavel, Víšek, Jan Ámos
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Flexible Least Squares Algorithm for Switching Models
Complexity, 2022 The self-organizing model and expectation-maximization method are two traditional identification methods for switching models. They interactively update the parameters and model identities based on offline algorithms. In this paper, we propose a flexible
Yunxia Ni, Lixing Lv, Yuejiang Ji
doaj +1 more source
Combinatorics of least-squares trees [PDF]
Proceedings of the National Academy of Sciences, 2008 A recurring theme in the least-squares approach to phylogenetics has been the discovery of elegant combinatorial formulas for the least-squares estimates of edge lengths. These formulas have proved useful for the development of efficient algorithms, and have also been important for understanding connections among popular phylogeny algorithms.
Mihaescu, Radu, Pachter, Lior
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Journal of Multivariate Analysis, 2023 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bousebata, Meryem +2 more
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Least-Squares Contour Alignment [PDF]
IEEE Signal Processing Letters, 2009 The contour alignment problem, considered in this letter, is to compute the minimal distance in a least-squares sense, between two explicitly represented contours, specified by corresponding points, after arbitrary rotation, scaling, and translation of one of the contours.
Ivan Markovsky, Sasan Mahmoodi
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Deformation analysis with Total Least Squares [PDF]
Natural Hazards and Earth System Sciences, 2006 Deformation analysis is one of the main research fields in geodesy. Deformation analysis process comprises measurement and analysis phases. Measurements can be collected using several techniques. The output of the evaluation of the measurements is mainly
M. Acar +4 more
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Least squares approximations of power series
International Journal of Mathematics and Mathematical Sciences, 2006 The classical least squares solutions in C[−1,1] in terms of linear combinations of ultraspherical polynomials are extended in order to estimate power series on (−1,1). Approximate rates of uniform and pointwise convergence are obtained, which correspond
James Guyker
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Least Squares Generative Adversarial Networks-Based Anomaly Detection
IEEE Access, 2022 Multivariate statistical process control (MSPC) is a technique for detecting anomalies by monitoring several quality characteristics simultaneously. For the MSPC problem, the Hotelling’s $T^{2}$ control chart has been widely used as a typical ...
Chang-Ki Lee +2 more
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Health Literacy, Self‐Efficacy and Knowledge of Sickle Cell Disease Among Caregivers
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Sickle cell disease (SCD) is a hereditary blood disorder in which abnormal haemoglobin leads to severe anaemia, painful crises and organ failure. Caregivers’ health literacy (HL) – their ability to assess, understand and apply information, and interact with healthcare professionals – is crucial for managing children with SCD, yet ...
Melanie Bruinooge +6 more
wiley +1 more source