Permutation Solutions for Multivariate Ranking and Testing with Applications |
| |
Authors: | Rosa Arboretti Giancristofaro |
| |
Affiliation: | 1. Department of Land, Environment, Agriculture and Forestry , University of Padova, Campus di Agripolis , Viale dell'Università 16, 35020 , Legnaro , Padova , Italy rosa.arboretti@unipd.it |
| |
Abstract: | In this article, we consider permutation methods for multivariate testing on ordered categorical variables based on the nonparametric combination of permutation dependent tests (NPC; Pesarin and Salmaso, 2010). Furthermore, an extension of the nonparametric combination of dependent rankings (Arboretti et al., 2007) is proposed in order to construct a synthesis of composite indicators. The methodological approaches are applied to a study of risk factors for skin cancer in a cohort of adult patients with heart transplants followed for a minimum of three years after transplantation (Belloni et al, 2004) and to a survey on tourist's opinions about “Tre Cime” Park (District of Sesto Dolomites/Alta Pusteria, Italy). |
| |
Keywords: | Multivariate testing Non parametric combination Ordered data |
|
|