Robust Winsorized Regression Using Bootstrap Approach

DOI10.1080/03610910903308423zbMath1462.62257OpenAlexW2003215912MaRDI QIDQ5305492

Deo Kumar Srivastava, Jianmin Pan, Govind S. Mudholkar, Ila C. Sarkar

Publication date: 22 March 2010

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610910903308423

zbMATH Keywords

bootstraprobustnesslinear regressionwinsorization

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Robustness and adaptive procedures (parametric inference) (62F35) Bootstrap, jackknife and other resampling methods (62F40) Nonparametric statistical resampling methods (62G09)

Cites Work

• Unnamed Item
• Unnamed Item
• Defining extremes and trimming by minimum covering sets
• Projection pursuit
• Bootstrap methods: another look at the jackknife
• The trimmed mean in the linear model
• Simplified Estimation from Censored Normal Samples
• Conclusions vs Decisions
• A Modified winsorized regression procedure for linear models
• Estimation of Correlation Coefficients by Ellipsoidal Trimming
• Minimum Covering Ellipses
• Optimal design: Some geometrical aspects of D-optimality
• Winsorized Regression
• A Projection Pursuit Algorithm for Exploratory Data Analysis
• On Some Robust Estimates of Location
• Estimates of Parameters of a Censored Regression Sample
• The Interpretation of Certain Regression Methods and Their Use in Biological and Industrial Research
• The Fitting of Straight Lines if Both Variables are Subject to Error
• The bootstrap and Edgeworth expansion
• Trimmed \(\tilde T^2\): A robust analog of Hotelling's \(T^2\)