MATH 360

This course covers advanced methods in applied statistics, beyond those of Mathematics 260. The emphasis is on applied aspects of generalized linear models, which provide a framework for analyzing some types of data for which ordinary linear models are not suitable. The analyses will be conducted using R, so students entering the course should already have a working knowledge of R. Topics other than generalized linear models are included as time allows, such as: time series analysis, categorical data analysis, and statistical graphics.

Prerequisites: MATH 260, the equivalent, or permission of the instructor.