Non-parametric Multivariate Permutation Test

A statistical non-parametric multivariable test based on the Fisher's method for combination of partial tests.
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Updated 19 Dec 2018

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References:

Bonnini, Stefano & Salmaso, Luigi & Solari, Aldo. Multivariate permutation tests for evaluating effectiveness of universities through the analysis of student dropouts. Statistica & Applicazioni, Vol. 3, 2005, 37-44.

Rosa Arboretti Giancristofaro and Stefano Bonnini. "Permutation Tests for Heterogeneity Comparisons in Presence of Categorical Variables with Application to University Evaluation", Metodološki zvezki, Vol. 4, No. 1, 2007, 21-36.

Rosa Arboretti Giancristofaro, Mario Bolzan, Federico Campigotto Livio Corain and Luigi Salmaso. Combination-based permutation testing in survival analysis", Quaderni di Statistica, Vol. 12, No 1, 2010, 15-38.

Pesarin, Fortunato; Salmaso, Luigi. The permutation testing approach: a review. Statistica, [S.l.], v. 70, n. 4, p. 481-509, dec. 2010. ISSN 1973-2201. Available at: <https://rivista-statistica.unibo.it/article/view/3599/2950>. Date accessed: 19 dec. 2018. doi:https://doi.org/10.6092/issn.1973-2201/3599.

Coded by: Juliano Pierezan (2015)
https://www.linkedin.com/in/pierezanj
https://www.researchgate.net/profile/Juliano_Pierezan
https://scholar.google.com.br/citations?user=6S89BfgAAAAJ

Note: Juliano Pierezan is not the owner of the method inside the code, not even contains any legal rights regarding it. The code is nothing but a contribution to the MathWorks community.

Cite As

Juliano Pierezan (2024). Non-parametric Multivariate Permutation Test (https://www.mathworks.com/matlabcentral/fileexchange/69764-non-parametric-multivariate-permutation-test), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2018b
Compatible with any release
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Version Published Release Notes
1.0.0