Artículos de revistas
Local influence in null intercept measurement error regression under a Student_t model
Registro en:
Journal Of Applied Statistics. Routledge Journals, Taylor & Francis Ltd, v. 32, n. 7, n. 723, n. 739, 2005.
0266-4763
WOS:000232466700005
10.1080/02664760500079639
Autor
Labra, FV
Aoki, R
Bolfarine, H
Institución
Resumen
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. 32 7 723 739