STAT 108 Syllabus

STAT 108 Syllabus - projects involve data analysis The...

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University of California, Davis Department of Statistics Winter Quarter, 2009 Course : Statistics 108 Regression Analysis Lecture: MWF 2.10-3.00pm Olson 206 Discussion/Lab: Tu 8.00-8.50am Olson 106 (Section 1) Tu 3.10-4.00pm Veimeyer 212 (Section 2) Instructor: Prabir Burman 4103 MSB 752-7622 e-mail: [email protected] Office hours: MWF 1.00-2.00 Teaching Assistant: Ru Wang 1212 MSB e-mail: [email protected] Office hours: TBA Textbook: Applied Linear Statistical Models , 5 th ed., Irwin, by Kutner, Nachtsheim, Neter and Li. Grading: Grades will be based on weekly homework (10%), two midterms (25% each) and a final (40%). The date for the midterms and the final are February 4, March 4 and March 19, respectively. Each midterm will consist of an in-class exam and a take-home project. The take-home
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Unformatted text preview: projects involve data analysis. The final examination will be comprehensive. No late homework will be accepted. Topics: The course will mainly deal with methodology. Mathematical details will be kept to a minimum. The following topics will be covered. Linear regression with one predictor variable (chapter 1) Inference in regression analysis (chapter 2) Diagnostic and remedial measures (chapter 3) Simultaneous inference (chapter 4) Matrix approach to simple linear regression (chapter 5) Multiple regression (chapters 6 and 7) Building regression models (chapter 9) Qualitative and quantitative predictors (chapter 8) (if time permits) Diagnostic, remedial measures in model building (chapters 10 and 11) (if time permits)...
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