Pages that link to "Item:Q1361543"

The following pages link to The feasible solution algorithm for least trimmed squares regression (Q1361543):

Displaying 34 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)
• On the least trimmed squares estimator (Q472475) (← links)
• A fast algorithm for robust regression with penalised trimmed squares (Q650724) (← links)
• Convergence of the feasible solution algorithm for least median of squares regression (Q673454) (← links)
• Benchmark testing of algorithms for very robust regression: FS, LMS and LTS (Q693263) (← links)
• Multivariate least-trimmed squares regression estimator (Q957111) (← links)
• Fast and robust bootstrap for LTS (Q957149) (← links)
• An algorithm for computing exact least-trimmed squares estimate of simple linear regression with constraints (Q957150) (← links)
• Finding approximate solutions to combinatorial problems with very large data sets using BIRCH (Q962302) (← links)
• Quadratic mixed integer programming and support vectors for deleting outliers in robust regression (Q1026582) (← links)
• Improved feasible solution algorithms for high breakdown estimation. (Q1285475) (← links)
• Sample size requirements for multiple outlier location techniques based on elemental sets (Q1361572) (← links)
• Reweighting approximate GM estimators: Asymptotics and residual-based graphics (Q1361648) (← links)
• A random least-trimmed-squares identification algorithm (Q1400949) (← links)
• On robust linear regression with incomplete data (Q1575398) (← links)
• An exact polynomial time algorithm for computing the least trimmed squares estimate (Q1623804) (← links)
• A practical approximation algorithm for the LTS estimator (Q1659190) (← links)
• Least trimmed squares regression, least median squares regression, and mathematical program\-ming (Q1876766) (← links)
• The blockwise coordinate descent method for integer programs (Q2189480) (← links)
• Leveraged least trimmed absolute deviations (Q2241912) (← links)
• Outlier detection and least trimmed squares approximation using semi-definite programming (Q2445775) (← links)
• An evolutionary algorithm for robust regression (Q2445777) (← links)
• Matrix strategies for computing the least trimmed squares estimation of the general linear and SUR models (Q2445794) (← links)
• The multivariate least-trimmed squares estimator (Q2476138) (← links)
• Robustness of the \(p\)-subset algorithm for regression with high breakdown point (Q3976437) (← links)
• Applied regression analysis bibliography update 1994-97 (Q4216805) (← links)
• The partial least squares algorithm: a truncated Cayley-Hamilton series approximation used to solve the regression problem (Q4221261) (← links)
• Some software for computing robust linear or nonlinear regression estimators (Q4387676) (← links)
• Feasible robust estimator in restricted semiparametric regression models based on the LTS approach (Q4607388) (← links)
• A Genetic Algorithm Based Modification on the LTS Algorithm for Large Data Sets (Q4906446) (← links)
• Feasibility as a mechanism for model identification and validation (Q5861476) (← links)
• New algorithms for computing the least trimmed squares regression estimator (Q5941333) (← links)
• Least sum of squares of trimmed residuals regression (Q6184883) (← links)