A pervasive issue in statistical hypothesis testing is that the reported $p$-values are biased downward by data "peeking" -- the practice of reporting only progressively extreme values of the test statistic as more data samples are collected. We develop principled mechanisms to estimate such running extrema of test statistics, which directly address the effect of peeking in some general scenarios.
p-value peeking and estimating extrema.
Published 2020 in arXiv: Statistics Theory
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2020
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arXiv: Statistics Theory
- Publication date
2020-11-02
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Mathematics
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