Efficiency of nonparametric e-tests

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Hauptverfasser: Vovk, Vladimir, Wang, Ruodu
Format: Preprint
Veröffentlicht: 2022
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author Vovk, Vladimir
Wang, Ruodu
author_facet Vovk, Vladimir
Wang, Ruodu
contents The notion of an e-value has been recently proposed as a possible alternative to critical regions and p-values in statistical hypothesis testing. In this paper we consider testing the nonparametric hypothesis of symmetry, introduce analogues for e-values of three popular nonparametric tests, define an analogue for e-values of Pitman's asymptotic relative efficiency, and apply it to the three nonparametric tests. We discuss limitations of our simple definition of asymptotic relative efficiency and list directions of further research.
format Preprint
id arxiv_https___arxiv_org_abs_2208_08925
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Efficiency of nonparametric e-tests
Vovk, Vladimir
Wang, Ruodu
Statistics Theory
Methodology
62G10 (Primary) 62A01 (Secondary)
The notion of an e-value has been recently proposed as a possible alternative to critical regions and p-values in statistical hypothesis testing. In this paper we consider testing the nonparametric hypothesis of symmetry, introduce analogues for e-values of three popular nonparametric tests, define an analogue for e-values of Pitman's asymptotic relative efficiency, and apply it to the three nonparametric tests. We discuss limitations of our simple definition of asymptotic relative efficiency and list directions of further research.
title Efficiency of nonparametric e-tests
topic Statistics Theory
Methodology
62G10 (Primary) 62A01 (Secondary)
url https://arxiv.org/abs/2208.08925