Course Title: Theory of Statistics

Part A: Course Overview

Course Title: Theory of Statistics

Credit Points: 12.00


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.