Statistics
Multidimensional Data Analysis (Principal component analysis - Multiple Correspondence analysis, binary symmetric and non - symmetric correspondence analysis); Regression models for discrete variables (logit, probit, Poisson regression models, multinomial logit models); Stochastic frontier analysis (regression models with double random component). Panel data (fixed effects random effects), Structural Equation Model (PLS , Maximum Likelihood Estimation, Entropy), Algorithmis of computational statistics, Business Intelligence systems to support business decisions , data base , data warehouse , data mart ; Extraction , synthesis and new forms of knowledge representation using multidimensional statistical methods, spatial statistics and environmental statistics.
