CAMPOS, J. C.; http://lattes.cnpq.br/2826840981051257; CAMPOS, Joelson da Cruz.
Resumo:
In this work, we propose the model of regression log-Birnbaum-Saunders generalized to analyze data with interval censored. The score functions and the observed Fisher information matrix were obtained, as well as the process for estimating of the parameters
was discussed. As measure of influence, we considered the likelihood displacement
under several schemes of perturbation. The normal curvatures of local influence were
derived and we conducted a residual analysis based on residuals Cox-Snell adjusted,
Martingale and modified deviance. A Monte Carlo simulation was carried in order to
investigate the behavior of empiric distribution of the proposed residuals. Finally, an
application with real data is presented.