Permutation Anderson-Darling Type and Moment-Based Test Statistics for Univariate Ordered Categorical Data. - Rosa Arboretti Giancristofaro; Fortunato Pesarin; Luigi Salmaso (Commun. Stat. Simul. Comput., 2007)

A permutation approach for testing heterogeneity in two-sample categorical variables. - Rosa Arboretti Giancristofaro; Stefano Bonnini; Fortunato Pesarin (Stat. Comput., 2009)

Some new results on univariate and multivariate permutation tests for ordinal categorical variables under restricted alternatives. - Rosa Arboretti Giancristofaro; Stefano Bonnini (Stat. Methods Appl., 2009)

Advantages of the Closed Testing Method in Multiple Comparisons Procedures. - Rosa Arboretti Giancristofaro; Mario Bolzan; Stefano Bonnini; Livio Corain; Francesca Solmi (Commun. Stat. Simul. Comput., 2012)

A Comparison among Combination-Based Permutation Statistics for Randomized Complete Block Design. - Rosa Arboretti Giancristofaro; Livio Corain; Susanna Ragazzi (Commun. Stat. Simul. Comput., 2012)

A permutation approach for ranking of multivariate populations. - Rosa Arboretti Giancristofaro; Stefano Bonnini; Livio Corain; Luigi Salmaso (J. Multivar. Anal., 2014)

Statistical Modeling for the Evaluation of Consumers' Preferences. - Rosa Arboretti Giancristofaro; V. Boatto; T. Tempesta; Daniel Vecchiato (Commun. Stat. Simul. Comput., 2016)

Union-intersection permutation solution for two-sample equivalence testing. - Fortunato Pesarin; Luigi Salmaso; Eleonora Carrozzo; Rosa Arboretti Giancristofaro (Stat. Comput., 2016)

A Combined Approach To Detect Key Variables In Thick Data Analytics. - Giovanni Antonelli; Rosa Arboretti Giancristofaro; Riccardo Ceccato; Paolo Centomo; Luca Pegoraro; Luigi Salmaso; Marco Zecca (CoRR, 2020)

Regression analysis with compositional data using orthogonal log-ratio coordinates. - Rosa Arboretti Giancristofaro; M. Gastaldi; L. Martinello; C. Meneguzzer (Commun. Stat. Simul. Comput., 2022)

Design of experiments and machine learning to improve robustness of predictive maintenance with application to a real case study. - Luigi Salmaso; Luca Pegoraro; Rosa Arboretti Giancristofaro; Riccardo Ceccato; Alberto Bianchi; Silvio Restello; Davide Scarabottolo (Commun. Stat. Simul. Comput., 2022)

Design choice and machine learning model performances. - Rosa Arboretti; Riccardo Ceccato; Luca Pegoraro; Luigi Salmaso (Qual. Reliab. Eng. Int., 2022)

Design of Experiments and machine learning for product innovation: A systematic literature review. - Rosa Arboretti Giancristofaro; Riccardo Ceccato; Luca Pegoraro; Luigi Salmaso (Qual. Reliab. Eng. Int., 2022)

Permutation testing for thick data when the number of variables is much greater than the sample size: recent developments and some recommendations. - Patrick B. Langthaler; Riccardo Ceccato; Luigi Salmaso; Rosa Arboretti; Arne C. Bathke (Comput. Stat., 2023)

A review of multivariate permutation tests: Findings and trends. - Rosa Arboretti; Elena Barzizza; Nicolò Biasetton; Marta Disegna (J. Multivar. Anal., 2025)

A comparison of nonparametric methods for multivariate two-sample tests. - Rosa Arboretti; Elena Barzizza; Riccardo Ceccato (Commun. Stat. Simul. Comput., 2025)