STAT 331 Applied Linear Models
Statistics (2009-2010)

Modeling the relationship between a response variable and several explanatory variables (an output-input system) via regression models. Least squares algorithm for estimation of parameters. Hypothesis testing and prediction. Model diagnostics and improvement. Algorithms for variable selection. Nonlinear regression and other methods. [Offered: F,W,S]
Prerequisites: MATH 235 or 245, (STAT 231 or 241 or SYDE 214).
Antirequisites: ECON 321, STAT 304, 311, 321, 324, 361, 371, 373, SYDE 334

Sections For Fall 2009

Lectures
ProfessorTimeCapacitySecAssocLocationCode
Metzger, Riley Adam 08:30-09:50 M T W Th F 112/140 1 1 MC 1085 4915
Tutorials
ProfessorTimeCapacitySecAssocLocationCode
TBA 05:30-06:20 M T W Th F 112/140 101 1 MC 1085 5145

Sections For Spring 2009

Lectures
ProfessorTimeCapacitySecAssocLocationCode
Gel, Yulia 08:30-09:50 M T W Th F 122/110 1 1 MC 4059 3132
Tutorials
ProfessorTimeCapacitySecAssocLocationCode
TBA 02:30-03:20 M T W Th F 122/110 201 1 MC 4059 3316
Laboratories
ProfessorTimeCapacitySecAssocLocationCode
TBA TBA 122/110 101 1 UW U 3208

Professors That Have Taught STAT 331