Quick search:
This is a session of Topic 3: Statistics education at the post-secondary level             Full topic list


(Friday 7th, 10:30-12:30)

Multivariate statistics


Organiser


Abstract

Multivariate statistical procedures form an important component of an undergraduate programme in statistics. But they are possibly more widely taught as part of a graduate programme for researchers and postgraduate students in many specialties where the collection and analysis of data are important. These courses are often data based rather than theoretical and they make extensive use of statistical software.

This session will include presentations detailing recent use of multivariate techniques in microarray analysis, ecology and market research. Some interesting data sets will be presented which will be available for others to use in their own teaching of multivariate statistics.

Papers

PaperTitlePresenter(s) / Author(s)
3E1Analyzing DNA Microarrays with undergraduate statisticiansJohanna Hardin (United States)
Ryan Murphy
Laura Hoopes
3E2Successful strategies for teaching Multivariate StatisticsJoe Hair (United States)
3E3Basic multivariate themes and methodsLisa L Harlow (United States)
3E4Ludovic Lebart’s approach: a way for teaching applied Multivariate Statistics in graduate courses with a heterogeneous audienceHebe Goldenhersch (Argentina)