Subuniformity of harmonic mean p‐values

Abstract We obtain several inequalities on the generalized means of dependent ‐values. In particular, the weighted harmonic mean of ‐values is strictly subuniform under several dependence assumptions of ‐values, including independence, negative upper orthant dependence, the class of extremal mixture copulas, and some Clayton copulas. Subuniformity of the harmonic mean of ‐values has an important implication in multiple hypothesis testing: It is statistically invalid (anticonservative) to merge ‐values using the harmonic mean unless a proper threshold or multiplier adjustment is used, and this applies across all significance levels. The required multiplier adjustment on the harmonic mean ‐value grows sublinearly to infinity as the number of ‐values increases, and hence there does not exist a constant multiplier that works for any number of ‐values, even under independence.

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Publication Details

Journal
Canadian Journal of Statistics
Published
2025-07-26
DOI
https://doi.org/10.1002/cjs.70017
Citations
1
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
2.21

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article

Subuniformity of harmonic mean p‐values

Ruodu Wang, Yuming Wang, Yuyu Chen, Wenhao Zhu
1 citations
Canadian Journal of Statistics
Stochastic processes and financial applications
2.21
article

Subuniformity of harmonic mean p‐values

Ruodu Wang, Yuming Wang, Yuyu Chen, Wenhao Zhu
article en
1 citations

Abstract

Abstract We obtain several inequalities on the generalized means of dependent ‐values. In particular, the weighted harmonic mean of ‐values is strictly subuniform under several dependence assumptions of ‐values, including independence, negative upper orthant dependence, the class of extremal mixture copulas, and some Clayton copulas. Subuniformity of the harmonic mean of ‐values has an important implication in multiple hypothesis testing: It is statistically invalid (anticonservative) to merge ‐values using the harmonic mean unless a proper threshold or multiplier adjustment is used, and this applies across all significance levels. The required multiplier adjustment on the harmonic mean ‐value grows sublinearly to infinity as the number of ‐values increases, and hence there does not exist a constant multiplier that works for any number of ‐values, even under independence.

Canadian Journal of StatisticsVol. 54(1)
University of Waterloo (CA), The University of Melbourne (AU), Peking University (CN)
Natural Sciences and Engineering Research Council of Canada
Openalex Percentile: Top 12%
Stochastic processes and financial applications
2.21
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