Studies in Theoretical and Applied Statistics

Structural Equation Model.- Isabella Morlini, Impact of emergency online classes on students' motivation and engagement in University during the Covid-19 pandemic: A study case.- Federico Benassi, Annalisa Busetta*, Gerardo Gallo, Manuela Stranges, Local heterogeneities in population growth and decline. A spatial analysis of Italian municipalities.- Elias Fekhari, Bertrand Iooss, Joseph Muré, Luc Pronzato, and Maria-João Rendas, Model predictivity assessment: incremental test-set selection and accuracy evaluation.- Antonio Naimoli, Giuseppe Storti, Multiple measures Realized GARCH models.- Venera Tomaselli, Giulio Giacomo Cantone, and Vincenzo Miracula, Multiversal Methods in Observational Studies: The Case of COVID-19.- Fiorenzo Ambrosino, Giuseppe Giannini, Antonio Lepore, Biagio Palumbo, Gianluca Sposito.- Neural network for the statistical process control of HVAC systems in passenger rail vehicles.- Salvatore D. Tomarchio, Antonio Punzo and Luca Bagnato, On the use of the matrix-variate tail-inflated normal distribution for parsimonious mixture modeling.- Tiziana Tuoto, Davide Di Cecco and Andrea Tancredi, Population size estimation by repeated identifications of units. A Bayesian semi-parametric mixture model approach.- Ivan Sciascia, Andrea Crosino, Gennaro Carotenuto, Andrea Genre, Spatial interdependence of mycorrhizal nuclear size in confocal microscopy.- Federica Piersimoni and Francesco Pantalone and Roberto Benedetti, Spatially balanced indirect sampling to estimate the coverage of the agricultural census.- Michele Costa, The assessment of environmental and income inequalities.- Righi A., Catanese E., Valentino L., Zardetto D., The Italian Social Mood on Economy Index during the Covid-19 Crisis.- Maria Maddalena Barbieri, Francesca Bassi, Antonio Irpino, Rosanna Verde, The rating of journals and the research outcomes in Statistical Sciences in Italian Universities.- Mauro Bruno, Francesca Inglese, Giuseppina Ruocco, Trusted Smart Surveys: architectural and methodological challenges related to new data sources.- Elena Grimaccia, Alessia Naccarato, Gerardo Gallo, Web surveys: profiles of respondents to the Italian Population Census.

member of the International Statistical Institute and a Fellow of the American Statistical Association. He was co-Editor in Chief of the International Statistical Review 2015-2019 and has been an Associate Editor for the Journal of Official Statistics, Survey Methodology, the Journal of the Royal Statistical Society (Series A and B) and the Annals of Statistics. He was President of the International Association of Survey Statisticians, 2011-2013 and International Representative on the Board of the American Statistical Association, 2011-2014. His research is focused on robust model-based methods for inference from complex data, particularly where this complexity arises through integration of data from multiple sources. With Chris Skinner, he jointly edited Analysis of Survey Data, Wiley, 2003. More recently, he co-authored Maximum Likelihood Estimation for Sample Surveys, CRC Press, 2012, with David Steel, Alan Welsh and Suojin Wang, and An Introduction to Model-Based Survey Sampling with Applications, Oxford University Press, 2012, with Robert Clark.

Ray Chambers is Honorary Professorial Fellow at the National Institute for Applied Statistics Research Australia, University of Wollongong, Australia. He is an elected member of the International Statistical Institute and a Fellow of the American Statistical Association. He was co-Editor in Chief of the International Statistical Review 2015-2019 and has been an Associate Editor for the Journal of Official Statistics, Survey Methodology, the Journal of the Royal Statistical Society (Series A and B) and the Annals of Statistics. He was President of the International Association of Survey Statisticians, 2011-2013 and International Representative on the Board of the American Statistical Association, 2011-2014. His research is focused on robust model-based methods for inference from complex data, particularly where this complexity arises through integration of data from multiple sources. Wit