Results 21 to 30 of about 63,550 (174)
On Robust Estimation of Error Variance in (Highly) Robust Regression
Measurement Science Review, 2020 The linear regression model requires robust estimation of parameters, if the measured data are contaminated by outlying measurements (outliers). While a number of robust estimators (i.e. resistant to outliers) have been proposed, this paper is focused on
Kalina Jan, Tichavský Jan
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Models Where the Least Trimmed Squares and Least Median of Squares Estimators Are Maximum Likelihood [PDF]
SSRN Electronic Journal, 2019 The Least Trimmed Squares (LTS) and Least Median of Squares (LMS) estimators are popular robust regression estimators. The idea behind the estimators is to find, for a given h, a sub-sample of h 'good' observations among n observations and estimate the regression on that sub-sample.
Berenguer-Rico, V +2 more
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Estimation parameters using bisquare weighted robust ridge regression BRLTS estimator in the presence of multicollinearity and outliers [PDF]
, 2015 This study presents an improvement to robust ridge regression estimator. We proposed two methods Bisquare ridge least trimmed squares (BRLTS) and Bisquare ridge least absolute value (BRLAV) based on ridge least trimmed squares RLTS and ridge least ...
Adnan, Robiah +3 more
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A Robust Segmented Mixed Effect Regression Model for Baseline Electricity Consumption Forecasting
Journal of Modern Power Systems and Clean Energy, 2022 Renewable energy production has been surging around the world in recent years. To mitigate the increasing uncertainty and intermittency of the renewable generation, proactive demand response algorithms and programs are proposed and developed to further ...
Xiaoyang Zhou +3 more
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Least trimmed squares regression, least median squares regression, and mathematical programming
Mathematical and Computer Modelling, 2002 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Giloni, A., Padberg, M.
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ROBUST SPARSE MATCHING AND MOTION ESTIMATION USING GENETIC ALGORITHMS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 In this paper, we propose a robust technique using genetic algorithm for detecting inliers and estimating accurate motion parameters from putative correspondences containing any percentage of outliers.
M. Shahbazi +3 more
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Analysis of Targeted Coordinated Attacks on Decomposition-Based Robust State Estimation
IEEE Open Access Journal of Power and Energy, 2023 The impact of false data injection (FDI) attacks on static state estimation of power systems has been actively studied in the past decade. In this paper, we consider an estimation method that first decomposes the system into islands and then implements ...
Naime Ahmadi +2 more
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Energies, 2021 The growth of renewable energy generation in the power grid brings attention to high-voltage direct current (HVDC) transmission as a valuable solution for stabilizing the system. Robust hybrid power system state estimation could enhance the resilience of
Abdulwahab A. Aljabrine +4 more
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Least sum of squares of trimmed residuals regression
Electronic Journal of Statistics, 2023 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zuo, Yijun, Zuo, Hanwen
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Revstat Statistical Journal, 2011 Sousa and Michailidis (2004) developed the sum plot based on the Hill (1975) estimator as a diagnostic tool for selecting the optimal k when the distribution is heavy tailed.
J. Beirlant , E. Boniphace , G. Dierckx
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