Simulation Study of Conditional, Bootstrap, andtConfidence Intervals in Linear Regression

DOI10.1081/SAC-120017857zbMath1081.62541OpenAlexW1998081412MaRDI QIDQ4416328

Suzanne Hudson, Paul W. Vos

Publication date: 31 July 2003

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

Full work available at URL: https://doi.org/10.1081/sac-120017857

Mathematics Subject Classification ID

Parametric tolerance and confidence regions (62F25) Linear regression; mixed models (62J05) Bootstrap, jackknife and other resampling methods (62F40) Nonparametric statistical resampling methods (62G09)

Uses Software

• R
• S-PLUS

Cites Work

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• Unusual properties of bootstrap confidence intervals in regression problems
• Bootstrapping regression models
• Bootstrap methods: another look at the jackknife
• Jackknife, bootstrap and other resampling methods in regression analysis
• Rerandomization Inference on Regression and Shift Effects: Computationally Feasible Methods
• Relation between the shape of population distribution and the robustness of four simple test statistics
• Test Inversion Bootstrap Confidence Intervals
• SOME PROPERTIES OF PROFILE BOOTSTRAP CONFIDENCE INTERVALS
• Confidence Intervals from Randomization Tests
• Better nonparametric confidence intervals for the mean of a symmetric distribution
• Permutation Tests for Linear Models

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