Search | Previous : 316-351 | Next : 316-449
Handbook 1997 : Faculty of Economics and Commerce : Economics

316-352 Quantitative Business Analysis

Coordinator:

Dr J. Hirschberg

Prerequisite/s:

316-205 Introductory Econometrics or 316-206 Quantitative Methods 2.

Timetable:

Semester 2

Contact:

Three hours of lectures, seminars and tutorials a week

Objectives:

On completion of this subject students should be able to:

  • use graphical display techniques for the analysis of multivariate data;

  • test for differences between data representing two populations;

  • perform and interpret the results of ANOVA and regression models;

  • employ discriminant function analysis and logistic regression to classify individuals;

  • be familiar with univariate time series methods;

  • classify individuals and characteristics using cluster analysis.

Content:

Multivariate statistical analysis of business and financial data using statistical computer programs. The techniques covered include: Multivariate Graphics, Analysis of Variance, Regression, Univariate Time Series Models, Logistic Regression, Discriminant Function, Principal Components, Cluster Analysis and Factor Analysis.

Assessment:

A 2-hour examination (80%) and class assignments (20%).

Prescribed Texts:

  • Afifi and Clark, Computer-Aided Multivariate Analysis, 2nd ed. Van Nostrand Reinhold, 1990.
Search | Previous : 316-351 | Next : 316-449
Handbook 1997 : Faculty of Economics and Commerce : Economics 
Status:                   OFFICIAL 1997
Last Modified:            Wednesday March 12 3:36 pm
SGML to HTML Conversion:  Information Technology Services
Authorised by:            Academic Registrar
Email Enquiries:          Course_Information@registrar.unimelb.edu.au
Copyright © University of Melbourne 1997.