Pages that link to "Item:Q3976437"
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The following pages link to Robustness of the \(p\)-subset algorithm for regression with high breakdown point (Q3976437):
Displaying 14 items.
- The feasible set algorithm for least median of squares regression (Q137210) (← links)
- SOCP relaxation bounds for the optimal subset selection problem applied to robust linear regression (Q319716) (← links)
- A resampling design for computing high-breakdown regression (Q689489) (← links)
- RDELA -- a Delaunay-triangulation-based, location and covariance estimator with high breakdown point (Q746340) (← links)
- Unconventional features of positive-breakdown estimators (Q1324567) (← links)
- An Anscombe type robust regression statistic (Q1352103) (← links)
- Robust regression with a distributed intercept using least median of squares (Q1361561) (← links)
- Sample size requirements for multiple outlier location techniques based on elemental sets (Q1361572) (← links)
- An easy way to increase the finite-sample efficiency of the resampled minimum volume ellipsoid estimator (Q1391245) (← links)
- Robust regression with high coverage. (Q1423178) (← links)
- Robust procedures in multiple regression: \(p\)-subsets and a computational proposal (Q1919704) (← links)
- Positive-breakdown regression by minimizing nested scale estimators (Q1923438) (← links)
- Nonsingular subsampling for regression S estimators with categorical predictors (Q2358938) (← links)
- An evolutionary algorithm for robust regression (Q2445777) (← links)