syllabus530_16.doc

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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.
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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/
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