Robust methods for heteroskedastic regression
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Publication:1658742
DOI10.1016/j.csda.2016.07.002zbMath1466.62022OpenAlexW2461163065MaRDI QIDQ1658742
Anthony C. Atkinson, Marco Riani, Francesca Torti
Publication date: 15 August 2018
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2016.07.002
Related Items (4)
2nd special issue on robust analysis of complex data ⋮ Testing inference in heteroskedastic linear regressions: a comparison of two alternative approaches ⋮ Robust estimation and variable selection in heteroscedastic linear regression ⋮ Covariance matrices of S robust regression estimators
Uses Software
Cites Work
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- A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity
- A parametric framework for the comparison of methods of very robust regression
- Analysis of the forward search using some new results for martingales and empirical processes
- Robust joint modeling of mean and dispersion through trimming
- Robust diagnostics for the heteroscedastic regression model
- Exploratory tools for clustering multivariate data
- Strong consistency and robustness of the forward search estimator of multivariate location and scatter
- The forward search: theory and data analysis
- Asymptotic Theory of Outlier Detection Algorithms for Linear Time Series Regression Models
- Optimal Design for Nonlinear Response Models
- Finding an Unknown Number of Multivariate Outliers
- Least Median of Squares Regression
- A Comparison Between Maximum Likelihood and Generalized Least Squares in a Heteroscedastic Linear Model
- Variance Function Estimation
- Estimating Regression Models with Multiplicative Heteroscedasticity
- Fitting Heteroscedastic Regression Models
- Robust Statistics
- Elliptical and Radial Truncation in Normal Populations
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