The content of this course is decided from year to year in accordance with graduate student interest and instructor avilability. Topics include but are not restricted to: Advanced Design of Experiments, Weak and Strong Approximation Theory, Asumptotic Statistical Methods, the Bootstrap and its Applications, Generalized Additive Models, Order Statistics and their Applications, Robust Statistics, Statistics for Spatial Data, Statistical Process Control, Time Series Models.
This course may be repeated for credit.

Sections