Results 31 to 40 of about 544,201 (272)
Least trimmed squares regression, least median squares regression, and mathematical programming
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Giloni, A., Padberg, M.
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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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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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truncSP: An R Package for Estimation of Semi-Parametric Truncated Linear Regression Models
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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Asymptotics of Least Trimmed Squares Regression [PDF]
High breakdown-point regression estimators protect against large errors both in explanatory and dependent variables.The least trimmed squares (LTS) estimator is one of frequently used, easily understandable, and thoroughly studied (from the robustness point of view) high breakdown-point estimators.In spite of its increasing popularity and number of ...
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Enhanced Dynamic Performance in Hybrid Power System Using a Designed ALTS-PFPNN Controller
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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Least sum of squares of trimmed residuals regression
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Zuo, Yijun, Zuo, Hanwen
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Symmetrically Trimmed Least Squares Estimation for Tobit Models [PDF]
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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RobPer: An R Package to Calculate Periodograms for Light Curves Based on Robust Regression
An important task in astroparticle physics is the detection of periodicities in irregularly sampled time series, called light curves. The classic Fourier periodogram cannot deal with irregular sampling and with the measurement accuracies that are ...
Anita M. Thieler +2 more
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The multivariate least-trimmed squares estimator
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Agulló, Jose +2 more
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