ECAS
Menu Principal:
The Fourth Course in the ECAS Programme:
| Analysis of Categorical Data |
| LEIDEN, THE NETHERLANDS |
| September 20-24, 1993 |
Scientific
Programme Committee
J.C. Gower (Leiden), Chair
D. Edwards (Maeloev)
A. Giovagnoli (Perugia)
W.J. Heiser (Leiden)
W. Krazanowski (Exeter)
W. Lebart (Paris)
W. Molenaar (Groninger)
Organising
Committee
W.J. Heiser (Leiden), Chair
I.A. Van Der Lans (Leiden), Secretary
J.J. Droesbeke (Bruxelles)
S. Heiler (Konstanz)
J.J Meulman (Leiden)
D. Peña (Madrid)
G. Saporta (Paris)
S. Verdel (Leiden)
Scope
of the course
Categorical data arise in many different situations, and in a great variety of scientific fields. They may appear as counts in contingency tables, or in the form of a matrix of cases by attributes. The course covers recently developed methods, for both exploratory and confirmatory modes of analysis. Exploration is often guided by dimension reduction and visual display of relationships among variables and their categories, by grouping of observation units, and data transformation. Methods for confirmation can be considering models in which the concept of conditional independence -that applies to manifest and latent variables alike- plays a crucial role.
Topics
• homogeneity analysis and optimal scaling
• generalized canonical correlation analysis
• cluster analysis and measures of association
• logistic regression and discrimination
• independence graphs and graphical modelling
• latent class and latent structure models
• discrete space / discrete time Markov modelling
Lecturers
Erling B. Andersen
David Hand
Willem J. Heiser
Rolf Langeheine
Jaqueline J. Meulman
Gilbert Saporta
Joe Whittaker
