Methods to estimate probability distribution of nonstandard test statistics, find estimators, test hypotheses, and compute confidence intervals.
Prerequisite
STAA 551 (Regression Models and Applications or concurrent registration) or Data Analysis and Regression; STAA 561 (Probability with Applications or concurrent registration) or Introduction to Probability Theory or written consent of instructor. This is a partial-semester course.
Important Information
Tuition includes access to lecture recordings which are available by streamed video. Lecture recordings may also be available by download or on DVD. To determine viewing options, contact the Department of Statistics degree program staff at stats_ddp@mail.colostate.edu. Visit the Department of Statistics website to learn more about what to do after registration, including creating your eID (if necessary) and accessing your course.
Instructors
Daniel Cooley
9704915721
|
Daniel.Cooley@colostate.edu
Dan Cooley joined the statistics faculty in 2007. His research interests focus around developing methodologies for the analysis of extreme values. In particular, he is interested in multivariate and spatial extremes. Dan collaborates regularly with the Geophysical Statistics Project at the National Center for Atmospheric Research in Boulder.
Dan and his family like to bicycle, hike, ski, swim, and telemark ski.
