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Assessment of Local Influence
Journal of the Royal Statistical Society Series B (Statistical Methodology) · 1986 · Vol. 48(2) · pp. 133–155
R. Dennis Cook✉(University of Minnesota System)
Abstract
SUMMARY Statistical models usually involve some degree of approximation and therefore are nearly always wrong. Because of this inexactness, an assessment of the influence of minor perturbations of the model is important. We discuss a method for carrying out such an assessment. The method is not restricted to linear regression models, and it seems to provide a relatively simple, unified approach for handling a variety of problems.
Advanced Statistical Methods and ModelsStatistical Methods and InferenceStatistical Methods and Bayesian InferenceSimple (philosophy)Variety (cybernetics)Minor (academic)Computer scienceDegree (music)EconometricsStatisticsMathematicsPhysicsEpistemology
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References
Logistic Regression Diagnostics
The Annals of Statistics · 1981 · 1,293 citations
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Technometrics · 1987 · 2,855 citations
A Simple Test for Heteroscedasticity and Random Coefficient Variation
Econometrica · 1979 · 5,248 citations
Least Median of Squares Regression
Journal of the American Statistical Association · 1984 · 3,530 citations
Residuals and Influence in Regression.
Biometrics · 1983 · 1,922 citations
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