units
BEX6500
Faculty of Business and Economics
This unit entry is for students who completed this unit in 2013 only. For students planning to study the unit, please refer to the unit indexes in the the current edition of the Handbook. If you have any queries contact the managing faculty for your course or area of study.
To find units available for enrolment in the current year, you must make sure you use the indexes and browse unit tool in the current edition of the Handbook.
Level | Postgraduate |
Faculty | Faculty of Business and Economics |
Offered | Caulfield First semester 2013 (Day) |
Coordinator(s) | Professor Mervyn Silvapulle |
This unit provides an introduction to probability theory and statistical inference for graduate studies in econometrics and business statistics and related fields. It is intended to prepare research students for a range of other units in econometrics and business statistics. The first part will cover basic probability theory and the second half will be concerned with aspects of statistical inference. Some prior exposure to the topics to at least the advanced undergraduate level will be assumed. This unit is designed for PhD students who intend to write a thesis in econometrics or business statistics. It is not intended for PhD students in other disciplines who need to learn some basic quantitative techniques for the empirical section of their dissertations, although students from other departments who are interested in more advanced methods may wish to take this unit
The learning goals associated with this unit are to:
Within semester assessment: 30%
Examination: 70%
36 hours per semester of formal class contact.
Students must be enrolled in either the 3194 Master of Philosophy or the 0029 Doctor of Philosophy to enrol in this unit.