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

Author:

Tomarchio Salvatore D.1ORCID,Ingrassia Salvatore1,Melnykov Volodymyr2

Affiliation:

1. Department of Economics and Business University of Catania Catania 95129Italy

2. Department of Information Systems Statistics, and Management Science The University of Alabama Tuscaloosa AlabamaUSA

Funder

Università di Catania

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference35 articles.

1. The efficiency of Australian universities: a data envelopment analysis

2. Covariance pattern mixture models for the analysis of multivariate heterogeneous longitudinal data

3. ANVUR(2018).Rapporto biennale sullo stato del sistema universitario e della ricerca 2018.Technical report Agenzia Nazionale di Valutazione del Sistema Universitario e della Ricerca.

4. Model-Based Gaussian and Non-Gaussian Clustering

5. University drop-out: an Italian experience

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1. On Parsimonious Modelling via Matrix-Variate t Mixtures;Studies in Classification, Data Analysis, and Knowledge Organization;2023

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3. A Comparison of Migrant Integration Policies via Mixture of Matrix-Normals;Social Indicators Research;2022-10-23

4. A Festschrift for Geoff McLachlan;Australian & New Zealand Journal of Statistics;2022-06

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