STATISTICS 4C03/6C03
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Office: |
HH-210 |
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Telephone: |
905 525-9140 x 23423 (24-hour Voice Mail) |
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e-mail: |
By appointment.
Don't hesitate to contact me by telephone, voice mail, or e-mail any time you need help. If you need to see me at any time and my office door is open, I will see you then if I can, or arrange a time to meet later.
Become proficient in the theory and application of Generalized Linear Models.
Dobson, A.J. (2002) An Introduction to Generalized Linear Models, Second Edition, Chapman & Hall.
We will work through Chapters 1 to 9 of the course text, supplementing the material with computer applications and worked examples. Some review of prerequisite material may be required.
Check the course web site at http://www.math.mcmaster.ca/peter/s4c03/s4c03_0607 regularly for announcements, assignments, course notes, and answers to frequently-asked questions.
Students are expected to use computers in this course and develop expertise in R and SAS.
It is each student's responsibility to keep up to date with the course by working ahead in the text. Each chapter of the text has worked examples and lots of problems. I may give you some exercises to work on but not hand in.
Three assignments will be handed in for grading.
Test #1
Mon Feb 12
17:30-19:30
BSB-241 Student Technology Centre*
Test #2
Mon Mar 19
17:30-19:30
BSB-241 Student Technology Centre*
Aids permitted: Open book.
*You must have a valid userid, password and laser printing account for the Student Technology Centre. Tests MUST be submitted on paper; electronic submission is NOT permitted.
If you are unable to write a test at the scheduled time, please e-mail me at least 3 days before to make special arrangements.
There will be a formal 4-hour examination scheduled by the Instructor in April. The examination will be held in the Student Technology Centre. Your answers MUST be submitted on paper; electronic submission is NOT permitted.
Aids permitted: Open book.
All assignments will be counted, weighted in proportion to total marks. All tests will be counted, weighted equally. The best of the following four calculations will be used:
(A) 100% Exam; (B) 80% Exam + 20% Assignments; (C) 80% Exam + 20% Tests; (D) 60% Exam + 20% Assignments + 20% Tests.I will review all "borderline" marks and possibly make further adjustments.
Graduate students taking Statistics 6C03 for graduate credit must submit a written report on a topic from one of the texts that was not covered in class by the instructor. The report should explain the theory and illustrate the statistical analysis with one or more original worked examples.
This additional work will count for 10% of the graduate student's final mark. The Statistics 4C03 mark computed from assignments, tests and examinations by the grading scheme shown above will count for 90%.
Academic dishonesty consists of misrepresentation by deception or by other fraudulent means and can result in serious consequences, e.g. the grade of zero on an assignment, loss of credit with a notation on the transcript (notation reads: "Grade of F assigned for academic dishonesty"), and/or suspension or expulsion from the university. It is your responsibility to understand what constitutes academic dishonesty. For information on the various kinds of academic dishonesty please refer to the Academic Integrity Policy, specifically Appendix 3.