University of Naples Federico II | Italy
Prof. Anna Crisci is a Research Associate in Statistics at the Department of Economics, Management, and Institutions of the University of Naples Federico II. She earned her PhD in Economics in 2011 at the Second University of Naples (now the University of Campania “Luigi Vanvitelli”), with a dissertation on estimation methods for structural equation models applied to innovation performance in manufacturing firms. Over the years, she has built extensive teaching experience in statistics and market research across leading Italian universities, including Federico II University of Naples, the University of Campania “Luigi Vanvitelli,” and Pegaso Telematic University, delivering both core and supplementary courses at undergraduate and postgraduate levels. She has been actively engaged in organizing and chairing sessions at prestigious international conferences, serving on scientific and organizing committees such as CLADAG 2025, ENBIS 2017, and IRSYSC 2019. Her research contributions and expertise have been recognized with the National Scientific Qualification for Associate Professor (13/D1 – Statistics), editorial board memberships for journals such as Mathematical and Computational Applications (MDPI) and Journal of Applied Quantitative Methods, and guest editorship of special issues on advanced numerical methods. A committed reviewer for high-impact journals including SEPS, Quality & Quantity, and Social Indicators Research, she is also an active member of the Italian Statistical Society and its “Statistics for the Evaluation and Quality of Services” research group. Prof. Crisci’s scholarly activity reflects a strong commitment to advancing statistical methodologies for applied research in economics, management, and social sciences.
Featured Publications
"Decomposition of the Main Effects and Interaction term by using Orthogonal Polynomials in Multiple Non Symmetrical Correspondence Analysis."
"Weighted log ratio analysis by means of Poisson factor models: a case study to evaluate the quality of the public services offered to the citizens."
"The confidence ellipses in decomposition Multiple Non- Symmetrical Correspondence Analysis."
"Estimation methods for the Structural Equation Models: Maximum Likelihood, Partial Least Squares and Generalized Maximum Entropy."
"Permutation Test for group comparison in PLS-Modeling."