The following pages link to Min-max bias robust regression (Q750060):
Displaying 50 items.
- A parametric framework for the comparison of methods of very robust regression (Q254398) (← links)
- Robust and efficient estimation of the residual scale in linear regression (Q391548) (← links)
- Transfer function models with time-varying coefficients (Q428348) (← links)
- A note on the behaviour of residual plots in regression (Q449899) (← links)
- Bias robust estimation of scale (Q688401) (← links)
- Min-max asymptotic variance of M-estimates of location when scale is unknown (Q809499) (← links)
- High-breakdown robust multivariate methods (Q900488) (← links)
- On the maximum bias functions of \(MM\)-estimates and constrained \(M\)-estimates of regression (Q997368) (← links)
- Propagation of outliers in multivariate data (Q1002160) (← links)
- A local breakdown property of robust tests in linear regression (Q1175671) (← links)
- Robust linear regression via bounded influence \(M\)-estimators (Q1190567) (← links)
- Bias robust estimation in orthogonal regression (Q1208648) (← links)
- Stability under contamination of robust regression estimators based on differences of residuals. (Q1299423) (← links)
- Minimax bias-robust estimation of the dispersion matrix of a multivariate distribution (Q1307100) (← links)
- A minimax-bias property of the least \(\alpha\)-quantile estimates (Q1317253) (← links)
- The bias of \(k\)-step M-estimators (Q1336930) (← links)
- Robust estimation in structured linear regression (Q1354471) (← links)
- Robust regression with a distributed intercept using least median of squares (Q1361561) (← links)
- Local and global robustness of regression estimators (Q1361608) (← links)
- Optimal locally robust M-estimates of regression (Q1378822) (← links)
- Globally robust inference for the location and simple linear regression models (Q1417817) (← links)
- Robust regression quantiles. (Q1429886) (← links)
- Bias robustness of three median-based regression estimates. (Q1429887) (← links)
- On the diversity of estimates. (Q1589460) (← links)
- The deepest regression method (Q1604624) (← links)
- Relationships between maximum depth and projection regression estimates (Q1611821) (← links)
- Sharpening Wald-type inference in robust regression for small samples (Q1658340) (← links)
- Robust tests for linear regression models based on \(\tau\)-estimates (Q1660233) (← links)
- Depth weighted scatter estimators (Q1781165) (← links)
- Functional stability of one-step GM-estimators in approximately linear regression (Q1807106) (← links)
- On the uniqueness of \(S\)-functionals and \(M\)-functionals under nonelliptical distributions. (Q1848822) (← links)
- Maximum bias curves for robust regression with non-elliptical regressors (Q1848860) (← links)
- A class of robust and fully efficient regression estimators (Q1848950) (← links)
- Combining locally and globally robust estimates for regression (Q1873100) (← links)
- The influence function and maximum bias of Tukey's median (Q1873616) (← links)
- The maximum asymptotic bias of S-estimates for regression over the neighborhoods defined by certain special capacities (Q1882951) (← links)
- Influence function and maximum bias of projection depth based estimators. (Q1884610) (← links)
- Breakdown points for designed experiments (Q1895368) (← links)
- Positive-breakdown regression by minimizing nested scale estimators (Q1923438) (← links)
- Globul robustness of location and dispersion estimates (Q1962163) (← links)
- Improving bias-robustness of regression estimates through projections (Q1974082) (← links)
- Robustness of the deepest projection regression functional (Q2065268) (← links)
- Lower bounds for contamination bias: Globally minimax versus locally linear estimation (Q2366741) (← links)
- Globally robust confidence intervals for simple linear regression (Q2445745) (← links)
- Robust minium bias iteration algorithms for classification ratemaking and loss reserving (Q2680661) (← links)
- Applied regression analysis bibliography update 1988-89 (Q3135298) (← links)
- Robust Regression Using Data Partitioning and M-Estimation (Q3168345) (← links)
- An algorithm for deepest multiple regression (Q3297931) (← links)
- Recent results on bias-robust regression estimates (Q3976432) (← links)
- The maximum bias of robust covariances (Q3978082) (← links)
