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DISSIMILARITY PROFILE ANALYSIS: A CASE STUDY FROM ITALIAN UNIVERSITIES.

Authors :
Solaro, Nadia
Source :
Electronic Journal of Applied Statistical Analysis. 2012, Vol. 5 Issue 3, p438-444. 7p.
Publication Year :
2012

Abstract

Dissimilarity profile analysis (DPA) is introduced as an explorative tool for object-oriented data analysis techniques that address the problem of latent dimension extraction by using proximity measures. Potentialities of DPA are shown within a case study from Italian universities, where undergraduate courses are examined with respect to students' enrolment, career, and degree attainment. [ABSTRACT FROM AUTHOR]

Subjects

Subjects :
*DIMENSION reduction (Statistics)
*MATRICES (Mathematics)
*DISTRIBUTION (Probability theory)
*MULTIPLE comparisons (Statistics)
*SCHOOL enrollment

Details

Language :
English
ISSN :
20705948
Volume :
5
Issue :
3
Database :
Academic Search Index
Journal :
Electronic Journal of Applied Statistical Analysis
Publication Type :
Academic Journal
Accession number :
91706278
Full Text :
https://doi.org/10.1285/i20705948v5n3p438
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