Multivariate permutation McNemar’s test with application to performance  evaluation of basket players

Stefano Bonnini; Livio Corain; Fortunato Pesarin; Luigi Salmaso

doi:10.26398/IJAS.0035-002

Multivariate permutation McNemar’s test with application to performance evaluation of basket players

Authors

Stefano Bonnini a:1:{s:5:"en_US";s:21:"University of Ferrara";}
Livio Corain Department of Management and Engineering, University of Padova
Fortunato Pesarin Department of Statistical Sciences, University of Padova
Luigi Salmaso Department of Management and Engineering, University of Padova

DOI:

https://doi.org/10.26398/IJAS.0035-002

Keywords:

Basket Analytics, McNemar’s Test, Multivariate Analysis, Permutation Test, Nonparametric Combination

Abstract

The McNemar test can be considered the extension of the one-sample test on proportions to the case of two dependent samples or a special case of the sign test for paired data. In this paper we focus on the multivariate McNemar’s test by considering an unusual but interesting application of Basket Analytics. The application is related to the evaluation of the effect of the ﬁeld factor in the performance of basket players. The proposed method is based on the nonparametric combination of permutation tests.

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Published

2023-05-23

How to Cite

Bonnini, S., Corain, L., Pesarin, F., & Salmaso, L. (2023). Multivariate permutation McNemar’s test with application to performance evaluation of basket players. Statistica Applicata - Italian Journal of Applied Statistics, 35(1). https://doi.org/10.26398/IJAS.0035-002