Descriptive tests for the identification of outliers in the errors in variables linear model

In this paper the most commonly used diagnostic criteria for the identification of outliers or leverage points in the ordinary regression model are reviewed. Their use in the context of the errors-in-variables (e.v.) linear model is discussed and evidence is given that under the e.v. model assumptions the distinction between outliers and leverage points no longer exists.