A distribution free method of detecting outliers in regression

DOI10.1080/03610928808829650zbMath0656.62051OpenAlexW1972526051MaRDI QIDQ3804003

R. S. Sparks

Publication date: 1988

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610928808829650

zbMATH Keywords

influential observationsdetecting outliersbootstrap distribution of the predicted residualsDistribution free methods

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Linear regression; mixed models (62J05)

Uses Software

• alr3

Cites Work

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• Bootstrapping regression models
• Bootstrap methods: another look at the jackknife
• Robust regression: Asymptotics, conjectures and Monte Carlo
• The regression dilemma
• Outlier..........s
• Nonparametric estimates of standard error: The jackknife, the bootstrap and other methods
• Tests of Linear Hypotheses and l"1 Estimation
• The Hat Matrix in Regression and ANOVA
• Masking unmasked
• Testing for a Single Outlier in a Linear Model
• A Predictive View of the Detection and Characterization of Influential Observations in Regression Analysis
• A Note on Residuals in Two Dimensions