Spring 2016 Stat 530: Applied Linear Models Schedule: MW 2:10-3:00 pm Todd 301, F 3-5 (Hulbert 5) Pre-requisites: Stat 412/ 423 or Permission by Instructor Instructor: Nairanjana (Jan) Dasgupta Office: Neill 403 Phone: 335-3736 e-mail: dasgupta@wsu.edu Office Hours: M 3-4, W 1-2, Th 2-3 Class website: http://www.math.wsu.edu/faculty/ndasgupta/resources/Stat530/ Text: (recommended but not required) Applied Linear Statistical Models, Kutner, Nachtsheim and Neter and Li, 5th ed., McGraw Hill Irwin Website: Projected schedule for topics in the class (Ch denotes, Chapters from the recommended text): Week 1: Review, Preview, ideas of GLM, GLiMs and Simple Linear Regression Week 2-4: Simple Linear Regression (Chapters 1-4) Week 5-7: Multiple Regressions (Chapters 6-9) Week 8: Weighted Least Squares, Multicollinearity (Chapter 10) Midterm Exam Week 9: Robust Regression, Nonparametric Regression (Chapter 10) Week 10: SPRING BREAK Week 11: Bootstrapping (Chapter 10), Qualitative Predictors (Chapter 11) Week 12: Nonlinear Regression (Chapter 13) Week 13: Logistic and Poisson regression (Chapter 14) Week 14: Generalized Linear Models Week 15-16: ANOVA, ANCOVA as GLMs Description of Required Assignments and Grading policy: MIDTERM EXAM (100 points) FINAL EXAM (Comprehensive) PROJECTS HOMEWORK 30%. 30%. 20%. 20%. A (93%-100%); A- (90%-93%); B+ (87%-90%); B (83%-87%) B- (80%-83%); C+ (77%-80%); C (73%-77%); C(70%-73%) D+ (66%-70%); D (60%-66%); F(0%-60%) No late assignments will be accepted. Student Learning Outcomes: Student Learning Outcomes for this course: At the end of this course, students should be able to: Understand the idea of the General Linear Model and how it ties up regression, ANOVA and ANCOVA Diagnostics : Assumptions and how we check them Course Topics/Dates The following topic(s)/dates(s) will address this outcome: This will be covered in Week 1-2, 5-6. Non-classical Methods: what we do when assumptions fail Will be covered from Week 7 onwards to the end of class From week 1 to week 14 this will be the underlying deliverable of this class Be able to independently analyze data and synthesize results Will be covered in Week 3-4 Evaluation of Outcome: This outcome will be evaluated primarily by: Homework assignments and midterm exam and written projects Homework assignments and midterm exam and written projects Homework assignments and written projects as well as both midterm and final exam Independent project and final exam. Attendance Policy: I require attendance for my classes and if you have an excused reason why you missed class you are responsible for making up the work. 2 WSU Reasonable Accommodation Statement “Students with Disabilities: Reasonable accommodations are available for students with a documented disability. If you have a disability and need accommodations to fully participate in this class, please either visit or call the Access Center (Washington Building 217; 509-335-3417) to schedule an appointment with an Access Advisor. All accommodations MUST be approved through the Access Center. For more information contact a Disability Specialist on your home campus: Pullman or WSU Online: 509-335-3417 http://accesscenter.wsu.edu, Access.Center@wsu.edu http://gradschool.wsu.edu/FacultyStaff/Committee/ WSU Academic Integrity Statement: Academic integrity is the cornerstone of the university. You assume full responsibility for the content and integrity of the academic work you submit. You may collaborate with classmates on assignments, with the instructor's permission. However the guiding principle of academic integrity shall be that your submitted work, examinations, reports, and projects must be your own work. Any student who violates the University's standard of conduct relating to academic integrity will be referred to the Office of Student Conduct and may fail the assignment or the course. You can learn more about Academic Integrity on your campus using the URL listed in the Academic Regulations section or to http://conduct.wsu.edu/academic-integrity-policies-and-resources. Please use these resources to ensure that you don’t inadvertently violate WSU's standard of conduct. Also please be familiar with the GSC requirements for graduate students http://gradschool.wsu.edu/FacultyStaff/Committee/ Safety and Emergency Notification Washington State University is committed to enhancing the safety of the students, faculty, staff, and visitors. It is highly recommended that you review the Campus Safety Plan (http://safetyplan.wsu.edu/) and visit the Office of Emergency Management web site (http://oem.wsu.edu/) for a comprehensive listing of university policies, procedures, statistics, and information related to campus safety, emergency management, and the health and welfare of the campus community. Be familiar with the Graduate School statement at: http://gradschool.wsu.edu/FacultyStaff/Committee/ 3