SyllabusFall 2006Course: Statistics 971, Advanced Statistical ModelingInstructor: Steve KachmanOffice: 355B Hardin HallPhone: 472-7302Office Hours: I will generally be available in the afternoonText Book: Generalized, Linear, and Mixed Models, McCulloch and SearlePrerequisites: Statistics 970Matrix AlgebraLinear ModelsDistributionsExperimental DesignBasics of Theory and InferenceSASHomework: Approximately once every other week20% will be deducted for each day late.Exams: Two exams, will be announced at least one week in advanceFinal Exam: Friday, Dec 15 10:00-NoonRevise travel plans accordingly.Conflicts: Expected to take exams at the scheduled timeIf an exam conflicts with an activity vital to your program,please have your major advisor contact me well in advance.I should be notified as soon as possible of any potential conflicts.Grading: Exams 200 ptsFinal 150 ptsHomework and Quizes 100 ptsA final average of 90% will guarantee an A-, 80% a B-, 70% a C- and 60% a D-.Available at http://my.unl.edu/Web page: http://statistics.unl.edu/faculty/steve/971/2006/1The objective of the course is to extend your repertoire of approaches towards mo deling beyondthe standard linear model based approaches. Towards this objective we will examine the variousassumptions made in a standard analysis, examine our options when our assumptions are different,and examine our options when these assumptions are relaxed. Along the way we w ill not only lookat the application of different analytical me thods but, we will also look at the theory behind thesemethods.OutlineWeek TopicAug. 21 Linear Models (Review)Aug. 28 Linear Mixed ModelsEstimation and PredictionSep. 4 Variance Component EstimationSep. 11 Univariate Ge neralized Linear ModelsTheorySep. 18 Logits and ProbitsSep. 25 Review and Exam IOct. 2 Count: PoissonOct. 9 OverdispersionOct. 16 Model DiagnosticsOct. 23 Multivariate GLMOct. 30 Nonlinear Regres sionNov. 6 Review and Exam IINov. 13 SurvivalNov. 20 Threshold and TurkeyNov. 27 GLMMDec. 4