Fall 2016 - STAT 330 D100

Introduction to Mathematical Statistics (3)

Class Number: 4116

Delivery Method: In Person

Overview

  • Course Times + Location:

    Sep 6 – Dec 5, 2016: Mon, 10:30 a.m.–12:20 p.m.
    Burnaby

    Sep 6 – Dec 5, 2016: Wed, 10:30–11:20 a.m.
    Burnaby

  • Exam Times + Location:

    Dec 12, 2016
    Mon, 8:30–11:30 a.m.
    Burnaby

  • Prerequisites:

    STAT 285 and MATH 251.

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, limited distributions of MLEs. Likelihood ratio tests. Quantitative.

COURSE DETAILS:


Outline:

  1. Review of Probability and Univariate Distributions
  2. Multivariate Distributions
  3. Distributions of Functions of Random Variables
  4. Limiting Distributions
  5. Inference.  Sufficient Statistics for the Exponential Family.
  6. Maximum Likelihood, Limiting Distributions
  7. Bayes Estimation
  8. Fisher Information
  9. Likelihood Ratio Tests

Grading

  • Assignments (weekly assignments) 20%
  • Midterms (2 midterms) 30%
  • Final Exam 50%

NOTES:

All grading is subject to change.

Materials

REQUIRED READING:

Required Textbook:

Introduction to Mathematical Statistics (7th ed.)
by R. Hogg, J. McKean, A. T. Craig. Publisher: Pearson

Department Undergraduate Notes:

Students with Disabilites:
Students requiring accommodations as a result of disability must contact the Centre for Students with Disabilities 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://students.sfu.ca/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