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DIPARTIMENTO DI

Settore scientifico disciplinare: SECS-S/01 Statistica

Giovanni Camillo

PORZIO

Publications

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Pubblicato alle ore 17:56 del giorno 14/09/2010

# Kirschstein T., Liebscher S., Porzio G.C., Ragozini G. (2016) Minimum volume peeling: A robust nonparametric estimator of the multivariate mode. Computational Statistics & Data Analysis, vol. 93, p. 456–468, doi:10.1016/j.csda.2015.04.012

# Vitale M.P., Porzio G.C., Doreian P. (2016). Examining the effect of social influence on student performance through network autocorrelation models. Journal of Applied Statistics, vol. 43, p.115-127, DOI: 10.1080/02664763.2015.1049517

# Porzio G.C. (2013). Regression analysis by example. Journal of Applied Statistics, vol. 40, p. 2776-2777, ISSN: 0266-4763, doi: 10.1080/02664763.2013.817041

# 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.

# Porzio G.C., Ragozini G. (2000) Peeling multivariate data sets: a new approach, Quaderni di Statistica, 2, 85-99.

# 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.


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