Insensitivity Regions and Outliers in Mixed Models with Constraints

Abstract

A procedure for detecting outliers in regular linear regression models with constraints on mean value parameters is presented. A problem, how unknown variance components influence the optimum quality of used test statistics, is studied by sensitivity analysis. Explicit forms of insensitivity regions for testing hypotheses are given.