Calculated based on number of publications stored in Pure and citations from Scopus
Calculated based on number of publications stored in Pure and citations from Scopus
Calculated based on number of publications stored in Pure and citations from Scopus
1995 …2024

Research activity per year

Personal profile

Research Interests

- Generalized Linear Latent and Mixed Models (GLLAMMs).
- Structural equation models.
- Multivariate methods.
- Longitudinal models.
- Quasi-experimental methods.

Personal resume

Matilde Bini Ph.D. in Applied Statistics - University of Florence, she is full professor of Economic Statistics and entrusted with the role of heading the Department of Human Sciences and Director of Graduate Studies, PhD programme in Person, Well-being, and Innovation at the European University of Rome. Her research areas of interest are in macroeconomics and business analyses, labour markets, evaluation of higher education processes and public services. In statistical methodology, she works on Generalized Linear Latent and Mixed Models (GLLAMMs), structural equation models, multivariate methods, longitudinal models. Robust approach of the forward search for diagnostic analyses for outlier detection and data quality, in surveys and censuses of economic and social populations.

She was visiting Student at the Department of Statistics of the University of Florida (USA), visiting Professor at School for Advanced Studies di Institutions, Markets, Technologies of Lucca, and at Department of Estadística, Econometría, Investigación operativa, Organización de Empresas y Economía Aplicada of the University of Cordoba (Spain). She is member of various national and international Scientific Societies of Statistics. She has been Associate Editor of the Statistical Methods and Applications (SMA) Journal, and of the Italian Journal of Applied Statistics. She is member of several scientific societies: Italian Statistical Society (ISS), International Statistical Institute (ISI), President elect (for the 2025-2027 years) of the International Society for Business and Industrial Statistics (ISBIS), American Statistical Association (ASA), Royal Statistical Society (RSS), European Network for Business and Industrial Statistics (ENBIS), CLAssification and Data Analysis Group (CLADAG), ASA, Association for Applied Statistics. Also member of the Group for the Enhancement of Public Statistics (VSP), Group for Statistics in Evaluation and Quality in Services (SVQS), FutureSIS Group of the Italian Statistical Society.

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