Simon Fraser University
Engaging the World

Course Outlines

Fall 2020 - STAT 330 D100

Introduction to Mathematical Statistics (3)

Class Number: 3773

Delivery Method: In Person

Overview

  • Course Times + Location:

    Sep 9 – Dec 8, 2020: Mon, 10:30 a.m.–12:20 p.m.
    Burnaby

    Sep 9 – Dec 8, 2020: Wed, 10:30–11:20 a.m.
    Burnaby

  • Exam Times + Location:

    Dec 17, 2020
    Thu, 12:00–3:00 p.m.
    Burnaby

  • 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:

1. Introduction to Mathematical Statistics

2. Probability and Distributions 

  • 2.1 Probability
  • 2.2 Random Variables and Distributions
  • 2.3 Multivariate Distributions
  • 2.4 Some Special Distributions
3. Important Topics in Mathematical Statistics 
  • 3.1 Elementary Statistical Inferences
  • 3.2 Consistency and Limiting Distributions
  • 3.3 Maximum Likelihood Methods
4. Further Topics on Statistical Inference


Mode of teaching:
  • Lecture: asynchronous (recorded) 
  • Laboratory: N/A 
  • Tutorial: synchronous (via zoom meetings at the scheduled times)
  • Midterm(s): TBA; date: TBA 
  • Final exam: TBA; date: TBA


This course is accredited under the Canadian Institute of Actuaries (CIA) University Accreditation Program (UAP). Achievement of the minimum required grades in accredited courses may provide credit for preliminary exams. Please note that a combination of courses may be required to achieve exam credit. Details of required courses and grades at Simon Fraser University are available here (https://www.cia-ica.ca/membership/university-accreditation-program-home/accredited-universities/accredited-university-detail?pav_universityid=236ca8c4-60e5-e511-80b9-00155d111030).

In addition to the specific university’s internal policies on conduct, including academic misconduct, candidates pursuing credits for writing professional examinations shall also be subject to the Code of Conduct and Ethics for Candidates in the CIA Education System and the associated Policy on Conduct and Ethics for Candidates in the CIA Education System. For more information, please visit Obtaining UAP Credits (https://www.cia-ica.ca/membership/university-accreditation-program---home/information-for-candidates/obtaining-uap-credits) and the CIA FAQ (www.cia-ica.ca/docs/default-source/miscellaneous/uap/2018-uap-faq-and-career-brochure.pdf).

Grading

  • Homework/Quiz 20%-30%%
  • Midterm 20%-30%%
  • Final Exam 40%-60%%

NOTES:

Above grading is subject to change.

Materials

MATERIALS + SUPPLIES:

Access to highspeed internet, webcam

REQUIRED READING:

Introduction to Mathematical Statistics (8th ed) by Hogg, McKean, and Craig. Publisher: Pearson.

RECOMMENDED READING:

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:

ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS

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

TEACHING AT SFU IN FALL 2020

Teaching at SFU in fall 2020 will be conducted primarily through remote methods. There will be in-person course components in a few exceptional cases where this is fundamental to the educational goals of the course. Such course components will be clearly identified at registration, as will course components that will be “live” (synchronous) vs. at your own pace (asynchronous). Enrollment acknowledges that remote study may entail different modes of learning, interaction with your instructor, and ways of getting feedback on your work than may be the case for in-person classes. To ensure you can access all course materials, we recommend you have access to a computer with a microphone and camera, and the internet. In some cases your instructor may use Zoom or other means requiring a camera and microphone to invigilate exams. If proctoring software will be used, this will be confirmed in the first week of class.

Students with hidden or visible disabilities who believe they may need class or exam accommodations, including in the current context of remote learning, are encouraged to register with the SFU Centre for Accessible Learning (caladmin@sfu.ca or 778-782-3112).