23 citations · 31 across the 6 of their papers we have counts for
6 papers
Design choice and machine learning model performances
Rosa Arboretti, Riccardo Ceccato, Luca Pegoraro +1
An increasing number of publications present the joint application of Design of Experiments (DOE) and machine learning (ML) as a methodology to collect and analyze data on a specif…
A Combined Approach To Detect Key Variables In Thick Data Analytics
Giovanni Antonelli, Rosa Arboretti Giancristofaro, Riccardo Ceccato +4
In machine learning one of the strategic tasks is the selection of only significant variables as predictors for the response(s). In this paper an approach is proposed which consist…
Testing for equivalence: an intersection-union permutation solution
R. Arboretti, E. Carrozzo, F. Pesarin +1
The notion of testing for equivalence of two treatments is widely used in clinical trials, pharmaceutical experiments,bioequivalence and quality control. It is essentially approach…
An Empirical Comparison of Parametric and Permutation Tests for Regression Analysis of Randomized Experiments
Kellie Ottoboni, Fraser Lewis, Luigi Salmaso
Hypothesis tests based on linear models are widely accepted by organizations that regulate clinical trials. These tests are derived using strong assumptions about the data-generati…
A comparison of efficient permutation tests for unbalanced ANOVA in two by two designs--and their behavior under heteroscedasticity
Sonja Hahn, Frank Konietschke, Luigi Salmaso
We compare different permutation tests and some parametric counterparts that are applicable to unbalanced designs in two by two designs. First the different approaches are shortly…
A permutation approach for ranking of multivariate populations
Livio Corain, Luigi Salmaso
The subject of this paper is to introduce a novel permutation-based nonparametric approach for the problem of ranking several multivariate populations with respect to both experime…