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Statistical inference

BEX6500

Synopsis

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.

Sourced from the Monash Handbook 2026.

Quick facts

Credit points
0
Level
6
Audience
Postgraduate
Type
HDR
School
Faculty of Business and Economics
Faculty
Department of Econometrics and Business Statistics
Handbook year
2026

Prerequisites

No prereqs in the handbook graph.

What it unlocks

Nothing in the visible graph depends on this unit.

Offerings (1)

  • First semesterCaulfield · ON-CAMPUS