Results 1 to 10 of about 127,725 (148)
An Improved Self-Born Weighted Least Square Method for Cylindricity Error Evaluation
Applied Sciences, 2022 In order to improve the stability of the evaluation results and the gross error resistance of the algorithm in view of the widespread gross errors in geometric error evaluation, an improved self-born weighted least square method (ISWLS) is proposed in ...
Yunhan Yao, Ke Zhang
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The Odd Log-Logistic Burr-X Family of Distributions: Properties and Applications
Journal of Statistical Theory and Applications (JSTA), 2021 In this paper, a new class of distributions called the odd log-logistic Burr-X family with two extra positive parameters is introduced and studied. The new generator extends the odd log-logistic and Burr X distributions among several other well-known ...
Hamid Karamikabir +3 more
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Energy Reports, 2023 The accuracy and robustness of Power System State Estimation (PSSE) are paramount for monitoring and surveillance of Energy Management Systems (EMS). To enhance the PSSE accuracy, phasor measurement units (PMUs) are widely used in Wide-area measurement ...
Sravan Kumar Kotha +3 more
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A Modified Iterative Weighted Least Squares Method [PDF]
British Journal of Mathematics & Computer Science, 2014 The Iterative Weighted Least Squares (IWLS) method is one of the estimation procedures in logistic regression modeling. In consideration of the strategic role played by this model, especially in biometrics, the need to source for alternative logistic regression estimators has continued to resurface in the literature.
Nja M. E. , Nduka E. C. , Ogoke U. P.
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Optimal weighted least-squares methods [PDF]
The SMAI Journal of computational mathematics, 2017 We consider the problem of reconstructing an unknown bounded function u defined on a domain X⊂ℝ d from noiseless or noisy samples of u at n points (x i ) i=1,⋯,n . We measure the reconstruction error in a norm L 2 (X,dρ) for some given probability measure dρ.
Cohen, Albert, Migliorati, Giovanni
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IEEE Access, 2021 A hybrid RSS/AOA indoor localization method based on error variance and measurement noise weighted least squares (ENWLS) is proposed. This method is based on three-dimensional wireless sensor networks, and achieves high-precision indoor positioning ...
Weizhong Ding, Shengming Chang, Jun Li
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Locally weighted PCA regression to recover missing markers in human motion data.
PLoS ONE, 2022 "Missing markers problem", that is, missing markers during a motion capture session, has been raised for many years in Motion Capture field. We propose the locally weighted principal component analysis (PCA) regression method to deal with this challenge.
Hai Dang Kieu +3 more
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Ridge Shrinkage Estimators in Finite Mixture of Generalized Estimating Equations. [PDF]
Mathematics and Modeling in Finance, 2022 The paper considers the problem of estimation of the parameters in nite mixture models.In this article, a new method is proposed for of estimation of the parameters in nite mixture models. Traditionally, the parameter estimation in nite mixture models
Sajad Nezamdoust, Farzad Eskandari
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Communications, 2012 In this paper we study the performance of the least square method and the weighted least square method for estimating the Weibull distribution parameters. In engineering practice these methods are commonly used due to their simplicity.
Ivana Pobocikova, Zuzana Sedliackova
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Applied Sciences, 2023 In this study, the K-means algorithm based on particle swarm optimization (K-PSO) and game theory are introduced to establish the quality evaluation model of a rock mass.
Yunkai Ruan +9 more
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