Robust Bootstrap with Non Random Weights Based on the Influence Function

DOI10.1081/SAC-120037242zbMath1100.62559MaRDI QIDQ3155610

Conceičão Amado, Ana M. Pires

Publication date: 17 January 2005

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

Mathematics Subject Classification ID

Nonparametric robustness (62G35) Nonparametric statistical resampling methods (62G09)

Related Items

Robust bootstrap procedures for the chain-ladder method ⋮ Robust learning from bites for data mining

Cites Work

• Breakdown points of affine equivariant estimators of multivariate location and covariance matrices
• Bootstrap methods: another look at the jackknife
• Robust covariance estimates based on resampling
• Breakdown theory for bootstrap quantiles
• Bootstrapping robust estimates of regression
• Least Median of Squares Regression
• The Efficiency and Consistency of Approximations to the Jackknife Variance Estimators
• Robust estimation and outlier detection with correlation coefficients
• Influence functions and outlier detection under the common principal components model: A robust approach
• Unnamed Item
• Unnamed Item
• Unnamed Item