Course Title: Theory of Statistics
Part A: Course Overview
Course Title: Theory of Statistics
Credit Points: 12.00
Terms
Course Code |
Campus |
Career |
School |
Learning Mode |
Teaching Period(s) |
MATH2062 |
City Campus |
Postgraduate |
145H Mathematical & Geospatial Sciences |
Face-to-Face |
Sem 2 2006, Sem 2 2007, Sem 1 2011, Sem 1 2012 |
Course Coordinator: Prof. Panlop Zeephongsekul
Course Coordinator Phone: +61 3 9925 3324
Course Coordinator Email: panlopz@rmit.edu.au
Course Coordinator Location: 08.09.28
Pre-requisite Courses and Assumed Knowledge and Capabilities
This course assumed that you have completed MATH1324: Introduction to Statistical Inference.
However, if you have a good knowledge of key statistical concepts such as probability distributions, estimation and hypotheses testing from other undergraduate courses, then you will also be eligible to study this course
Course Description
Theory of Statistics is a foundation postgraduate course which introduces students to some advanced theoretical aspects of statistical inferences.
* It assumes knowledge of basic concepts of Theory of Probability and basic understanding of statistical methodology. Good working knowledge of calculus is also required.
*This course is offered to students enrolled in postgraduate programs in Analytics, Statistics and Operations Research.
Objectives/Learning Outcomes/Capability Development
On successful completion of the course, you will be able to:
- use various discrete and continuous univariate and multivariate probability distributions;
- estimate unknown parameters of a given probability distribution;
- understand the theoretical concepts of estimation, hypotheses testing and standard error of an estimator;
There is an emphasis on computational examples designed for you to understand the theory. Exercises are given every week to check your understanding and provide additional information. You are expected to spend approximately 6 hours per week working on the topics on your own. If you are experiencing difficulty in understanding lecture materials, you may seek help from the lecturer during the advertised consutling times.
Overview of Learning Activities
You will attend four hours of lectures per week and be required to do at least four hours per week of directed learning.
Overview of Learning Resources
There will be a prescribed textbook and a list of recommended textbooks for this course. You are recommended to purchase the textbook. In addition you will be given lecture notes, a study schedule and assignments.
Overview of Assessment
Assessment of this course is based on assignments work done during the semester and the examination held at the end of the semester.