Pages that link to "Item:Q1578279"
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The following pages link to Asymptotic distributions of the maximal depth estimators for regression and multivariate location (Q1578279):
Displaying 48 items.
- Asymptotics of stationary points of local simplicial depth in the univariate case (Q359393) (← links)
- Multivariate functional outlier detection (Q497792) (← links)
- Depth estimators and tests based on the likelihood principle with application to regression (Q558064) (← links)
- Data depth trimming counterpart of the classical \(t\) (or \(T^2\)) procedure (Q609674) (← links)
- Data depth for simple orthogonal regression with application to crack orientation (Q641760) (← links)
- Asymptotics for the Tukey median (Q697461) (← links)
- Multidimensional trimming based on projection depth (Q869968) (← links)
- Online signal extraction by robust linear regression (Q880888) (← links)
- High-breakdown robust multivariate methods (Q900488) (← links)
- On the Tukey depth of a continuous probability distribution (Q951167) (← links)
- On the performance of bivariate robust location estimators under contamination (Q956798) (← links)
- Multivariate trimmed means based on the Tukey depth (Q958794) (← links)
- Distribution-free tests for polynomial regression based on simplicial depth (Q1002345) (← links)
- Point set stratification and Delaunay depth (Q1019881) (← links)
- Robust learning from bites for data mining (Q1020821) (← links)
- Censored depth quantiles (Q1023489) (← links)
- Projection based scatter depth functions and associated scatter estimators (Q1041070) (← links)
- On a robust and efficient maximum depth estimator (Q1042951) (← links)
- Regression and asymptotical location of a multivariate sample (Q1373987) (← links)
- Characterizing angular symmetry and regression symmetry. (Q1429884) (← links)
- Projection-based depth functions and associated medians (Q1431435) (← links)
- Robustness of deepest regression (Q1570291) (← links)
- High-dimensional computation of the deepest location. (Q1583493) (← links)
- Rate of convergence of depth contours: with application to a multivariate metrically trimmed mean. (Q1587710) (← links)
- The deepest regression method (Q1604624) (← links)
- Relationships between maximum depth and projection regression estimates (Q1611821) (← links)
- Asymptotic properties of location estimators based on projection depth (Q1612935) (← links)
- On data depth and distribution-free discriminant analysis using separating surfaces (Q1767479) (← links)
- Generalized and pseudo-generalized trimmed means for the linear regression with AR(1) error model (Q1771293) (← links)
- The Tukey depth characterizes the atomic measure (Q1861391) (← links)
- Continuity of halfspace depth contours and maximum depth estimators: Diagnostics of depth-related methods (Q1861393) (← links)
- Distribution-function-based bivariate quantiles. (Q1867144) (← links)
- On depth and deep points: A calculus. (Q1873615) (← links)
- The influence function and maximum bias of Tukey's median (Q1873616) (← links)
- On the Stahel-Donoho estimator and depth-weighted means of multivariate data. (Q1884609) (← links)
- On min-max majority and deepest points (Q1962227) (← links)
- Halfspace depth and floating body (Q2002525) (← links)
- On general notions of depth for regression (Q2038290) (← links)
- Robustness of the deepest projection regression functional (Q2065268) (← links)
- Robust dimension reduction using sliced inverse median regression (Q2208396) (← links)
- Large sample properties of the regression depth induced median (Q2216957) (← links)
- K-sign depth: from asymptotics to efficient implementation (Q2242867) (← links)
- Tests for multiple regression based on simplicial depth (Q2267584) (← links)
- Finite sample breakdown point of Tukey's halfspace median (Q2361009) (← links)
- An algorithm for deepest multiple regression (Q3297931) (← links)
- An algorithm for the multivariate Tukey median (Q3297996) (← links)
- Regression Depth with Censored and Truncated Data (Q4807617) (← links)
- Influence function of halfspace depth (Q5935559) (← links)
