Name: Leticia Silva Nunes
Institution: UFMG, Brazil


This work presents statistical methods to preserve condentiality of datasets, in particular simulation of synthetic data. This approach is based on simulate sinthetic data that are generated from from specied probability distributions to reproduce the maximum possible relationships contained in the original data. Simulation of synthetic data is attractive because it allows controlling the disclosure risk and utility. Futhermore, researchers will be able to use conventional statistical analysis tools. In addition, we extended the methodology for simulation of synthetic geographical coordinates for spatial data that is proposed in Paiva et al. (2014) by inserting continuous variables in the estimation of the model.