Estimating the \(p\)-values of robust tests for the linear model
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Publication:1765768
DOI10.1016/j.jspi.2003.09.033zbMath1123.62050OpenAlexW2068829763MaRDI QIDQ1765768
Publication date: 23 February 2005
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jspi.2003.09.033
Estimation in multivariate analysis (62H12) Asymptotic distribution theory in statistics (62E20) Linear regression; mixed models (62J05) Parametric hypothesis testing (62F03) Robustness and adaptive procedures (parametric inference) (62F35) Bootstrap, jackknife and other resampling methods (62F40)
Related Items (4)
Robust tests for linear regression models based on \(\tau\)-estimates ⋮ Robust inference for seemingly unrelated regression models ⋮ Inference for robust canonical variate analysis ⋮ Fast and robust bootstrap
Uses Software
Cites Work
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- High breakdown-point and high efficiency robust estimates for regression
- Bootstrap estimation of the asymptotic variances of statistical functionals
- The bootstrap: Some large sample theory and connections with robustness
- Bootstrapping regression models
- Efficiency and robustness in resampling
- Bootstrap variance estimators with truncation
- On almost sure expansions for M-estimates
- Bootstrap methods: another look at the jackknife
- Breakdown theory for bootstrap quantiles
- Bootstrapping robust estimates of regression
- Uniform asymptotics for robust location estimates when the scale is unknown
- Bootstrapping MM-estimators for linear regression with fixed designs
- Robust Bounded-Influence Tests in Linear Models
- Bootstrapping robust regression
- On Estimating Variances of Robust Estimators when the Errors are Asymmetric
- Markov Chain Marginal Bootstrap
- The estimating function bootstrap
- The Fitting of Power Series, Meaning Polynomials, Illustrated on Band-Spectroscopic Data
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