STATS 743 / Foundations of Statistics

6 unit(s)

A systematic treatment of the central concepts and methods of statistical inference, including sampling distributions, point and interval estimation, and testing of statistical hypotheses. Both frequentist and Bayesian approaches are presented. The course ends with an introduction to resampling methods, including the bootstrap and the jackknife, and to inferential aspects of regression methods, including logistic and generalized linear models.