A note on the use of residuals for detecting an outlier in linear regression

DOI10.1093/BIOMET/69.2.488zbMath0494.62065OpenAlexW2171723040MaRDI QIDQ3957813

Ajit C. Tamhane

Publication date: 1982

Published in: Biometrika (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/e45d9c49739780bb4c5aa2a07e070b9f696fd781

zbMATH Keywords

outlier detectionoptimal power propertiesoutlier modelleast squares residualshift in locationclass of linear transformations

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Linear regression; mixed models (62J05) Parametric hypothesis testing (62F03)

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Asymmetric properties of the Pearson correlation coefficient: Correlation as the negative association between linear regression residuals

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