STA244 Linear Models Spring 2001

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Course Info site http://courses.duke.edu/courses/STA244.01-S2001 (help for Course-Info Users)

Instructor: Merlise Clyde

Office:

219A Old Chemistry Building

Phone: 681-8440
Email: clyde@stat.duke.edu
Office Hours: Tuesday &Thursday10:30-11:30, or by appointment

Meeting Times: Tuesday & Thursday 9:10-10:25 025 Old Chemistry Building

 

Texts:

Applied Linear Regression, 2nd Edition

by Sandford. Weisberg,  1985, John Wiley & Sons

Software:  

Splus

S-Plus 2000 / S-Plus 5.1
by Math Soft, Inc. ©2000

Bugslogo

Bugs and WinBugs

MRC Biostatistics Unit,Cambridge UK

 

Course Description

This courses covers concepts of linear models from Bayesian and classical viewpoints. Topics include: Exploratory data analysis techniques, simple linear and multiple regression, ANOVA,variable transformations and selection, parameter estimation and interpretation, prediction, model diagnostics, Bayesian hierarchical models, Bayes factors and model selection, and Bayesian model averaging. Topics in Markov chain Monte Carlo simulation introduced as required. Prerequisite: Statistics 213 or equivalent.


Updated January 11, 2001