Applied Regression Including Computing and Graphics
by R. Dennis Cook and Sandford. Weisberg, 1999, John Wiley & Sons
Data sets and documentation for data sets (ASCII format)
Instructor: Merlise Clyde
| Office: | |
| Phone: | 681-8440 |
| Email: | clyde@stat.duke.edu |
| Office Hours: | Tuesday &Thursday10:30-11:30, or by appointment |
Teaching Assistant: Laura Gunn
| Office: | |
| Phone: | 684-8840 |
| Email: | laura@stat.duke.edu |
| Office Hours: | Monday & Wednesday 2-3 |
Meeting Times: Tuesday & Thursday 9:10-10:25 in 219 Social Sciences Building
*Note Change in Location*
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Applied Regression Including Computing and Graphics by R. Dennis Cook and Sandford. Weisberg, 1999, John Wiley & Sons Data sets and documentation for data sets (ASCII format) |
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S-Plus 2000 / S-Plus 6 |
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MRC Biostatistics Unit,Cambridge UK |
This courses covers concepts of linear models from Bayesian and classical viewpoints from a vector space approach. 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. Extensions to Multivariate models if time permits. Prerequisite: Statistics 213 or equivalent. Background in linear algebra is helpful.