Diagnostic measures for linear mixed measurement error models

Abstract

In this paper, we present case deletion and mean shift outlie r models for linear mixed measure- ment error models using the corrected likelihood of Nakamur a (1990). We derive the corrected score test statistic for outliers detection based on mean sh ift outlier models. Furthermore, several case deletion diagnostics are constructed as a tool for influ ence diagnostics. It is found that they can be written in terms of studentized residuals of model, er ror contrast matrix and the inverse of the response variable covariance matrix. Our influence diag nostics are illustrated through a real data set.