arXiv subjects
Publications and source records attributed to Filippo Elba.
The article aims to estimate the short and long run efficient production frontiers for firm operating in an industry. The Le Chatelier principle represents the theoretical framework, while the tool used to find the frontiers is the non-parametric Data Envelopment Analysis technique. The proposal tries to overcome the main limitations that other efforts done in this context seem to have.
Application of Benford's law to data on daily new cases of infection by Covid 2019 in some Coutries (Brazil, China, France, Germany, Japan, Italy, United Kingdom, United States of America).
An application of Multiplicative Non-Parametric Corporate Performance Model (based on Data Envelopment Analysis) by Emrouznejad and Cabanda is here presented and applied so as to evaluate effectiveness, efficiency and quality of Regional Health Systems in Italy. A Quadrant Analysis is used too in order to visualize analysis results. In general, Regional Systems characterized by high effectiveness scores are much efficient too. Emilia Romagna seems to be the best Region under all three points of view. The Southern Regions register the worst performances.
This paper aims to analyse adolescents' road accidents in Tuscany. The analysis is based on the Database Edit of Osservatorio di Epidemiologia della Toscana. Complexity and heterogeneity of Edit's data represet an interesting scope to apply Machine Learning methods. In particular, in this paper is proposed an analysis based on a Bayesian probabilistic network, used to discover relationships between adolescents' characteristics and behaviours that are more often associated with an audacious driving style. The probabilistic network developed by this study can be considered a useful starting point for follow up reasearches, aiming to develop a causal network, a tool to limit this phenomenon.