<div dir="ltr">Seminário - Projeto Temático: Modelos de Regressão e Aplicações Título: Inference in a structural heteroscedastic calibration model Palestrante: Mário de Castro, ICMC-USP Quando: 18 de setembro, sexta-feira, às 11h. Onde: Auditório Jacy Monteiro, Bloco B, piso térreo - IME-USP Resumo. In this talk we deal with inference in an heteroscedastic calibration model. We embrace a multivariate structural model with known diagonal covariance error matrices, which is a common setup when different measurement methods are compared. Maximum likelihood estimates are computed numerically via the EM algorithm. Consistent estimation of the asymptotic variance of the maximum likelihood estimators and a graphical device for model checking are also discussed. Test statistics with asymptotic chi-squared distribution are proposed for testing hypotheses of interest. Results of simulations comprising point estimation, interval estimation, and hypothesis testing are reported. An application to a real data set is given. Joint work with Manuel Galea (PUC de Chile, Chile). </div>