Fall 2019 - STAT 330 D100
Introduction to Mathematical Statistics (3)
Class Number: 4559
Delivery Method: In Person
Overview
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Course Times + Location:
Sep 3 – Dec 2, 2019: Mon, 10:30 a.m.–12:20 p.m.
BurnabySep 3 – Dec 2, 2019: Wed, 10:30–11:20 a.m.
Burnaby -
Exam Times + Location:
Dec 9, 2019
Mon, 12:00–3:00 p.m.
Burnaby
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Instructor:
Steven Thompson
thompson@sfu.ca
778 782-6591
Office: SC-K10556
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Prerequisites:
STAT 285, MATH 251, and one of MATH 232 or MATH 240.
Description
CALENDAR DESCRIPTION:
Review of probability and distributions. Multivariate distributions. Distributions of functions of random variables. Limiting distributions. Inference. Sufficient statistics for the exponential family. Maximum likelihood. Bayes estimation, Fisher information, limiting distributions of MLEs. Likelihood ratio tests. Quantitative.
COURSE DETAILS:
Outline:
- Review of Probability and Univariate Distributions
- Multivariate Distributions
- Distributions of Functions of Random Variables
- Limiting Distributions
- Inference. Sufficient Statistics for the Exponential Family.
- Maximum Likelihood, Limiting Distributions
- Bayes Estimation
- Fisher Information
- Likelihood Ratio Tests
Grading
- Assignments (weekly assignments) 20%
- Midterms (2 midterms) 30%
- Final Exam 50%
NOTES:
Above grading is subject to change.
Materials
REQUIRED READING:
Required Textbook:
Probability and Statistics: The Science of Uncertainty (3rd ed) by Michael J. Evans and Jeffrey S. Rosenthal. Publisher: W.H. Freeman
Book is available for free online here.
ISBN: 9780321795434
Department Undergraduate Notes:
Students with Disabilites:
Students requiring accommodations as a result of disability must contact the Centre for Accessible Learning 778-782-3112 or csdo@sfu.ca
Tutor Requests:
Students looking for a Tutor should visit http://www.stat.sfu.ca/teaching/need-a-tutor-.html. We accept no responsibility for the consequences of any actions taken related to tutors.
Registrar Notes:
SFU’s Academic Integrity web site http://www.sfu.ca/students/academicintegrity.html is filled with information on what is meant by academic dishonesty, where you can find resources to help with your studies and the consequences of cheating. Check out the site for more information and videos that help explain the issues in plain English.
Each student is responsible for his or her conduct as it affects the University community. Academic dishonesty, in whatever form, is ultimately destructive of the values of the University. Furthermore, it is unfair and discouraging to the majority of students who pursue their studies honestly. Scholarly integrity is required of all members of the University. http://www.sfu.ca/policies/gazette/student/s10-01.html
ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS