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Math 644: Regression Analysis Methods

math 644: Regression Analysis MethodsWenge GuoSeptember 4, 2013 Wenge GuoMath 644: Regression Analysis MethodsGeneral InformationIIntroductionIGo through the syllabus and other important informationabout the courseIBig picture of the courseIOffice: 210B Cullimore HallIContact information: most convenient way is emailIOffice hours: W and F 4:00 pm - 5:00 pm or by appointmentWenge GuoMath 644: Regression Analysis MethodsTextbookITextbook: (Required)Applied Linear Regression Models4thEd., by Kutner, Nachtsheim, and Neter. McGraw-Hill, book: (Recommended):Linear models with R, byJulian J. Faraway. Boca Raton: Chapman & Hall/CRC, GuoMath 644: Regression Analysis MethodsClass Webpage and Email ListIClass webpage and email list are used to deliver syllabus,lecture slides/notes, homework/solutions, exam/solutions,project and some important :Rwill be used throughout the course and talk more about computing when we need GuoMath 644: Regression Analysis MethodsBig Picture of the CourseIPart I: Simple Linear RegressionILinear Regression with One Predictor VariableIInferences in Regression and Correlation AnalysisIDiagnostics and Remedial MeasuresISimultaneous Inferences and Other Topics in RegressionAnalysisIPart II: Multiple Linear Regressi

I Advanced yet easy to use. An Introduction to R: ... I Part III: Nonlinear Regression I Nonlinear Regression I Logistic Regression, Poisson Regression and Generalized Linear Models I Midterm (Parts I – II) I Project (Parts I – III) I Final (Parts I – III) Wenge Guo Math 644: Regression Analysis Methods.

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