Local Influence in Null Intercept Measurement Error Regression under a Student_t Model

In this paper we discuss the application of local influence in measurement error regression model with null intercepts under a Student_t model with dependent populations. The Student_t distribution is a robust alternative to modeling data sets involving errors with longer than Normal tails. We derive the appropriate matrices for assessing the local influence for different perturbation schemes and use a real data as an illustration of the usefulness of the application.