• Corpus ID: 236965606

'Too Many, Too Improbable' test statistics: A general method for testing joint hypotheses and controlling the k-FWER

@inproceedings{Mogensen2021TooMT,
  title={'Too Many, Too Improbable' test statistics: A general method for testing joint hypotheses and controlling the k-FWER},
  author={P. B. Mogensen and Bo Markussen},
  year={2021}
}
Hypothesis testing is a key part of empirical science and multiple testing as well as the combination of evidence from several tests are continued areas of research. In this article we consider the problem of combining the results of multiple hypothesis tests to i) test global hypotheses and ii) make marginal inference while controlling the k-FWER. We propose a new family of combination tests for joint hypotheses, which we show through simulation to have higher power than other combination… 

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