2 citations · 5 across the 6 of their papers we have counts for
7 papers
Flexible modeling of bimodal distributions via skewed- mixtures
Marco Bee, Flavio Santi
We propose a mixture of location-scale skewed- distributions to fit bimodal, skewed and heavy-tailed data. In particular, the mixture is based on the skewed- distribution by…
Modeling and estimating skewed and heavy-tailed populations via unsupervised mixture models
Marco Bee, Flavio Santi
We develop a mixture model for non-negative, heavy-tailed data, such as losses in actuarial and risk management applications. The mixture has a lognormal component, which is usuall…
Modelling and predicting the spatio-temporal spread of Coronavirus disease 2019 (COVID-19) in Italy
Diego Giuliani, Maria Michela Dickson, Giuseppe Espa +1
Official freely available data about the number of infected at the finest possible level of spatial areal aggregation (Italian provinces) are used to model the spatio-temporal dist…
Reduced-bias estimation of spatial econometric models with incompletely geocoded data
Giuseppe Arbia, Maria Michela Dickson, Giuseppe Espa +2
The application of state-of-the-art spatial econometric models requires that the information about the spatial coordinates of statistical units is completely accurate, which is usu…
Double-calibration estimators accounting for under-coverage and nonresponse in socio-economic surveys
Maria Michela Dickson, Giuseppe Espa, Lorenzo Fattorini
Under-coverage and nonresponse problems are jointly present in most socio-economic surveys. The purpose of this paper is to propose a completely design-based estimation strategy th…
A goodness of fit test for the Pareto distribution
Emanuele Taufer, Flavio Santi, Giuseppe Espa +1
The Zenga (1984) inequality curve is constant in p for Type I Pareto distributions. This characterizing behavior will be exploited to obtain graphical and analytical tools for tail…