Regression residuals and test statistics: Assessing naive outlier deletion

DOI10.2307/3315977zbMath0962.62071OpenAlexW2156990547MaRDI QIDQ4521135

David C. Hamilton, Debbie J. Dupuis

Publication date: 19 June 2001

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/33e70f700743b2f6b31461c68f5a629438fbf83b

zbMATH Keywords

outlierscase deletionpower functionsbivariate tstudentized deleted residuals

Mathematics Subject Classification ID

Multivariate distribution of statistics (62H10) Linear regression; mixed models (62J05) Diagnostics, and linear inference and regression (62J20) Isomorphism problems in graph theory (reconstruction conjecture, etc.) and homomorphisms (subgraph embedding, etc.) (05C60)

Related Items (2)

APPLIED REGRESSION ANALYSIS BIBLIOGRAPHY UPDATE 2000–2001 ⋮ An evaluation of bootstrap methods for outlier detection in least squares regression

Uses Software

• alr3

Cites Work

• Unnamed Item
• Algorithm AS 251: Multivariate Normal Probability Integrals with Product Correlation Structure
• Modern outlier detection methods and thier effect on subsequent inference
• A BIVARIATE GENERALIZATION OF STUDENT'S t-DISTRIBUTION, WITH TABLES FOR CERTAIN SPECIAL CASES

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