A biclustering approach to university performances: an Italian case study

DOI10.1080/02664763.2015.1009005OpenAlexW2092955832MaRDI QIDQ5137965

Antonello Maruotti, Valentina Raponi, Francesca Martella

Publication date: 3 December 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1404.6193

zbMATH Keywords

Gaussian mixturefactor modelbiclusteringuniversity performance

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to social sciences (62P25)

Related Items (1)

Modelling students’ career indicators via mixtures of parsimonious matrix‐normal distributions

Cites Work

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• How individual characteristics affect university students drop-out: a semiparametric mixed-effects model for an Italian case study

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