A strong law of large numbers related to multiple testing normal means
Xiongzhi Chen and
R.W. Doerge
Statistics & Probability Letters, 2020, vol. 159, issue C
Abstract:
We prove a strong law of large numbers for simultaneously testing whether the means of a set of dependent normal random variables are zero. Our result can be used to check whether the widely-used “weak dependence” assumption holds.
Keywords: False discovery proportion; Normal-means problem under dependence; Hermite polynomial; Strong law of large numbers (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:159:y:2020:i:c:s0167715219303396
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DOI: 10.1016/j.spl.2019.108693
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