Results 21 to 30 of about 16,285 (243)
Trimmed Least Square Estimators for Stable Ar(1) Processes [PDF]
Mathematica Pannonica, 2022 We prove the weak consistency of the trimmed least square estimator of the covariance parameter of an AR(1) process with stable errors.
Bazarova, Alina +2 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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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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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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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 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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truncSP: An R Package for Estimation of Semi-Parametric Truncated Linear Regression Models
Journal of Statistical Software, 2014 Problems with truncated data occur in many areas, complicating estimation and inference. Regarding linear regression models, the ordinary least squares estimator is inconsistent and biased for these types of data and is therefore unsuitable for use ...
Maria Karlsson, Anita Lindmark
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Symmetrically Trimmed Least Squares Estimation for Tobit Models [PDF]
Econometrica, 1986 This paper proposes alternatives to maximum likelihood estimation of the censored and truncated regression models (known to economists as ``Tobit'' models). The proposed estimators are based upon symmetric censoring or truncation of the upper tail of the distribution of the dependent variable.
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Enhanced Dynamic Performance in Hybrid Power System Using a Designed ALTS-PFPNN Controller
Energies, 2022 The large-scale, nonlinear and uncertain factors of hybrid power systems (HPS) have always been difficult problems in dynamic stability control. This research mainly focuses on the dynamic and transient stability performance of large HPS under various ...
Kai-Hung Lu +2 more
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