ORIE 576 -- Regression -- SPRING 2004 TIME: MWF 1:25 -- 2:15pm, HO 110 PREREQUISITES: ORIE 476, or consent of instructor INSTRUCTOR: Jim Booth Visiting Professor Operations Research and Industrial Engineering 216 Rhodes Hall Phone: 255-9137 WEBPAGE: http://www.stat.ufl.edu/~jbooth/ EMAIL: except from hotmail/yahoo accounts OFFICE HOURS: M,W, 11am-noon, 216 Rhodes Hall Th, 11am-noon, 301D Malott Hall or by appointment. TEACHING ASSISTANT: Nikolai Blizniouk RECITATION SECTIONS: T 12:20-2:15pm, W 2:30-4:25pm COURSE TEXT: "Applied Linear Statistical Models", 4th Edition, by Neter, Kutner, Nachtsheim and Wasserman. ISBN 0-256-11736-5 SUMMARY: This course covers advanced topics in regression, building on the material in ORIE 476. The main topics are multiple regression, nonlinear regression, mixed effects models, randomized block designs, repeated measures. The course will emphasize the use of R for statistical computing and model fitting. This package is free and can be downloaded from the website http://cran.r-project.org/ Just click on the "Windows (95 and later)" link - there are also Mac and Linux versions - then click on the "base" link, and download the file "rw1081.exe". To install the package double click on the .exe file and choose the default installation options. COURSE OUTLINE: Chapter 7-10: Multiple Regression 13-14: Nonlinear Regression 24: Mixed Models 26: Randomized Blocks 29: Repeated Measures GRADING: Homework will be assigned each week and collected the following week. There will also be two exams (a midterm and a final). Homework assignments may involve data analysis and computation requiring students to use the R package. POINTS: Midterm 20, Final 40, Homework 40. GRADING SCALE: A+ 95+, A 90+ A- 85+, B+ 80+, B 75+, etc. EXAM DATES: Midterm Wednesday, Apr 14 Final TBA