ARBORETTI GIANCRISTOFARO, ROSA

ARBORETTI GIANCRISTOFARO, ROSA  

Dipartimento di Ingegneria Civile, Edile e Ambientale - ICEA  

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Titolo Data di pubblicazione Autori Rivista Serie Titolo libro
A combined approach to detect key variables in thick data analytics 2020 Giovanni AntonelliRosa ArborettiRiccardo CeccatoPaolo CentomoLuca PegoraroLuigi SalmasoMarco Zecca - - Proceedings of Workshop 2020 Statistics and Innovation for Industry 4.0
A comparative study on multiple comparisons procedures 2009 ARBORETTI GIANCRISTOFARO, ROSACORAIN, LIVIO + - - Book of Short Papers of the SIS Meeting on Statistical Methods for the Analysis of Large Data-sets
A Comparison among Combination-Based Permutation Statistics for Randomized Complete Block Design 2012 ARBORETTI GIANCRISTOFARO, ROSACORAIN, LIVIO + COMMUNICATIONS IN STATISTICS. SIMULATION AND COMPUTATION - -
A comparison of different methods for the construction of composite indicators 2005 ARBORETTI GIANCRISTOFARO, ROSA + - - Atti del Convegno S.Co.2005 “Quarto Convegno su Modelli Complessi e Metodi Computazionali Intensivi per la Stima e la Previsione”
A comparison of FWE-Type multiple comparison procedures 2010 ARBORETTI GIANCRISTOFARO, ROSACORAIN, LIVIO + - - Proceedings of the 2010 JSM - Joint Statistical Meetings
A comparison of nonparametric tests for performance analysis in presence of ordinal categorical variables 2006 ARBORETTI GIANCRISTOFARO, ROSASALMASO, LUIGI + - - Abstract of SMAP '06 - Statistical Methods for Performance Analysis International Meeting
A Multi-Aspect Permutation Test for Goodness-of-Fit Problems 2022 Arboretti, RBarzizza, EBiasetton, NCeccato, RCorain, LSalmaso, L STATS - -
A multivariate extension of union-intersection permutation solution for two-sample testing 2017 ARBORETTI GIANCRISTOFARO, ROSACARROZZO, ANNA ELEONORAPESARIN, FORTUNATOSALMASO, LUIGI JOURNAL OF STATISTICAL THEORY AND PRACTICE - -
A multivariate permutation test for the analysis of C-paired samples in the presence of multiple data types 2022 Rosa ArborettiElena BarzizzaRiccardo CeccatoLuigi Salmaso - - Book of Abstracts
A multivariate permutation test for the analysis of paired samples: the mixed data scenario 2022 Riccardo CeccatoRosa ArborettiElena BarzizzaNicolo BiasettonMarta DisegnaLuca Pegoraro + - - COMPSTAT 2022 Book of Abstracts
A multivariate ranking analysis on the employability of young adults 2023 Rosa ArborettiElena BarzizzaNicolo BiasettonRiccardo CeccatoMonica FedeliConcetta Tino - - SIS 23 - SEAS In - Book of the Short Papers
A NEW CONJOINT ANALYSIS PROCEDURE WITH APPLICATION TO MARKETING RESEARCH 2003 ARBORETTI GIANCRISTOFARO, ROSA COMMUNICATIONS IN STATISTICS. THEORY AND METHODS - -
A new permutation and Lasso-based interval selection technique 2020 Rosa ArborettiRiccardo CeccatoLuca PegoraroLuigi Salmaso - - Proceedings of the 2020 JSM - Joint Statistical Meetings
A novel active learning criterion for experiments with multiple responses 2022 Rosa ArborettiElena BarzizzaNicolò BiasettonRiccardo CeccatoMarta DisegnaLuca PegoraroLuigi Salmaso - - Compstat 2022: Book of Abstracts
A performance indicator for multivariate data 2007 ARBORETTI GIANCRISTOFARO, ROSASALMASO, LUIGI + QUADERNI DI STATISTICA - -
A permutation approach for multivariate repeated measures with application to a complex randomized clinical trial 2008 ARBORETTI GIANCRISTOFARO, ROSA ADVANCES AND APPLICATIONS IN STATISTICS - -
A Permutation Approach for Ranking of Multivariate Populations 2014 ARBORETTI GIANCRISTOFARO, ROSACORAIN, LIVIOSALMASO, LUIGI + JOURNAL OF MULTIVARIATE ANALYSIS - -
A permutation approach for testing heterogeneity in two-sample categorical variables 2009 ARBORETTI GIANCRISTOFARO, ROSAPESARIN, FORTUNATO + STATISTICS AND COMPUTING - -
A permutation solution for two-sample location-scale test 2008 ARBORETTI GIANCRISTOFARO, ROSACORAIN, LIVIO QUADERNI DI STATISTICA - -
A Permutation-Based Segmentation Procedure in Conjoint Analysis 2005 ARBORETTI GIANCRISTOFARO, ROSACORAIN, LIVIO + - - Atti del Convegno S.Co.2005 “Quarto Convegno su Modelli Complessi e Metodi Computazionali Intensivi per la Stima e la Previsione”