Estatística Computacional

Students should be able to understand and apply the following statistical methods which need intensive use of the computer: algorithms of type Newton- Raphson, Monte Carlo, resampling techniques (Bootstrap e Jackknife), sampling- resampling techniques and iterative simulation (Monte Carlo via Markov Chain, MCMC method). Students should be able to use the statistic software R in applied problems, by using the adequate available libraries or by adequately modifying them in case of necessity. Students should further be able to write reports where, using statistical techniques, a full analysis of the study case is done and well justified conclusions are drawn.