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Local influence in null intercept measurement error regression under a student_t model |
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| Authors: | Filidor V. Labra Reiko Aoki Heleno Bolfarine |
| Affiliation: | 1. Departamento de Estatística , IMECC/UNICAMP , Brazil;2. Departamento de Ciências da Computa??o e Estatística , ICMC/USP-S?o Carlos , Brazil;3. Departamento de Estatística , IME/USP , S?o Paulo, SP, Brazil |
| Abstract: | In this paper we discuss the application of local influence in a measurement error regression model with null intercepts under a Student_t model with dependent populations. The Student_t distribution is a robust alternative to modelling 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 real data as an illustration of the usefulness of the application. |
| Keywords: | Influence diagnostic student_t model likelihood displacement pretest/post-test data measurement error models |
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