Robust Multivariate Regression When There is Heteroscedasticity
From MaRDI portal
Publication:3616246
DOI10.1080/03610910802372835zbMath1161.62365OpenAlexW2030716895MaRDI QIDQ3616246
Publication date: 24 March 2009
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610910802372835
Estimation in multivariate analysis (62H12) Linear regression; mixed models (62J05) Robustness and adaptive procedures (parametric inference) (62F35)
Related Items (2)
A Generalized Regression Methodology for Bivariate Heteroscedastic Data ⋮ Adaptive Test for Periodicity in Autoregressive Conditional Heteroskedastic Processes
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Bias-robust estimates of regression based on projections
- Small sample corrections for LTS and MCD
- A resistant estimator of multivariate location and dispersion
- Breakdown properties of location estimates based on halfspace depth and projected outlyingness
- Robustness properties of \(S\)-estimators of multivariate location and shape in high dimension
- The multivariate least-trimmed squares estimator
- Least Median of Squares Regression
- A comparison of robust estimators in simple linear regression
- Robust regression through robust covariances
- M Estimation of Multivariate Regressions
- The Importance of Assessing Measurement Reliability in Multivariate Regression
- General Classes of Influence Measures for Multivariate Regression
- A Model-Free Test for Reduced Rank in Multivariate Regression
- Estimates of Regression Coefficients Based on Lift Rank Covariance Matrix
- Estimates of Regression Coefficients Based on the Sign Covariance Matrix
- Rank-Based Methods for Multivariate Linear Models
- The Theil-Sen Estimator With Doubly Censored Data and Applications to Astronomy
- The Behavior of the Stahel-Donoho Robust Multivariate Estimator
- Estimates of the Regression Coefficient Based on Kendall's Tau
This page was built for publication: Robust Multivariate Regression When There is Heteroscedasticity