Calendar Description For Term I
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.
Calendar Description For Term II
This course will cover sampling distributions, estimation and hypothesis testing, including likelihood, Bayesian and resampling methods. Introduction to generalized linear models and logistic regression.
Taught by 2 different professors, 1 each term.