A Bayesian approach to outlier detection and residual analysis
CHALONER, KATHRYN; BRANT, ROLLIN; CHALONER KATHRYN; Department of Applied Statistics, University of Minnesota; BRANT ROLLIN; Department of Preventive Medicine and Biostatistics, University of Toronto
Журнал:
Biometrika
Дата:
1988
Аннотация:
An approach to detecting outliers in a linear model is developed. An outlier is defined to be an observation with a large random error, generated by the linear model under consideration. Outliers are detected by examining the posterior distribution of the random errors. An augmented residual plot is also suggested as a graphical aid in finding outliers.
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