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Applied Statistics

Present position: Professor of Statistics at the Department of Economics and Law, University of Cassino and Southern Lazio.

Education:

Ph.D. 1998, Federico II University of Naples, IT
M.Sc. 1998, University of Minnesota, USA
Research interest: Graphical methods and data visualization. Model building and diagnostics in regression. Nonparametric multivariate analysis and data depth. Statistical process control.

Awards/Scientific Positions:

Memberships/Refereeing for Journals:

GIOVANNI CAMILLO PORZIO'S WEB PAGE

Main Publications:

Costantini P, Linting M, Porzio G.C. (2010). Mining performance data through nonlinear PCA with optimal scaling. Applied Stochastic Models in Business and Industry, 26, 85-101; doi: 10.1002/asmb.771

Porzio G.C., Ragozini G. (2009). On the stochastic ordering of folded binomials. Statistics and Probability Letters, 79, 1299-1304; doi: 10.1016/j.spl.2009.01.021.

Porzio G.C., Ragozini G., Vistocco D. (2008). On the use of archetypes as benchmarks. Applied Stochastic Models in Business and Industry, 24, 419-437.

Porzio G.C., Ragozini G. (2007), Multivariate Control Charts from a Data Mining Perspective, in: Recent Advances in Data Mining of Enterprise Data, Chapter 9, Liao, T.W. and E. Triantaphyllou (Eds.), World Scientific, Singapore, 413-462.

Porzio G.C., Vitale M.P. (2007) Exploring Nonlinearities in Path Models, Quality and Quantity, 41, 937-954.

Porzio G.C., Ragozini G. (2003) Visually Mining Off-line Data for Quality Improvement, Quality and Reliability Engineering International, 19, 273-283.

Porzio G.C. (2002) A Simulated Band to Check Binary Regression Models, Metron - International Journal of Statistics, LX, 1-2, 83-95.

Pan W., Connett J.E., Porzio G.C., Weisberg S. (2001) Graphical Model Checking with Correlated Response Data, Statistics in Medicine, 20, 2935-2949.

De Stefanis S., Porzio G.C. (1999) Dynamic Graphics and Model Validation: An Application to Best-Practice Production Functions, Applied Stochastic Models in Business and Industry, 15, 259-267.

Porzio G.C. (1997) Interpretation and Efficient Computation of the Andrews-Pregibon Statistic for Multiple Outliers in Multivariate Data, Statistica Applicata - Italian Journal of Applied Statistics, 9, 387-401.

[Ultima modifica: mercoledì 13 settembre 2017]