Multivariate measurement error models based on Student-t distribution under censored responses

• Published in: Statistics (Berlin, DDR) Vol. 52; no. 6; pp. 1395 - 1416
• Main Authors: Matos, Larissa A., Castro, Luis M., Cabral, Celso R. B., Lachos, Víctor H.
• Format: Journal Article
• Language: English
• Published: Abingdon Taylor & Francis 02.11.2018; Taylor & Francis Ltd
• Subjects: Algorithms; Censored responses; Computer simulation; Economic models; EM algorithm; Error analysis; measurement error models; Medical phenomena; Parameter estimation; Parameter robustness; Regression analysis; Regression models; Student-t distribution

Measurement error models constitute a wide class of models that include linear and nonlinear regression models. They are very useful to model many real-life phenomena, particularly in the medical and biological areas. The great advantage of these models is that, in some sense, they can be represente...