Day / time:
Monday & Wednesday,2:30pm - 3:45pm (tentative)
Undergraduate
Graduate
Course term:
Spring
Selected topics in statistics explored through analysis of data sets using the R statistical computing language. Topics include linear and nonlinear models, maximum likelihood, resampling methods, curve estimation, model selection, classification, and clustering. Weekly sessions in the Statistical Computing laboratory.
After STAT 242 and MATH 222 or 225, or equivalents.