Estimating the Number of False Null Hypotheses When Conducting Many Tests
نویسندگان
چکیده
Mosig et al. (2001) propose an intuitively appealing method for estimating the number of null hypotheses that are false in a multiple test situation. They present an iterative algorithm that relies on the distribution of observed -values to obtain their estimator. We characterize the limit of their iterative algorithm and show that their estimator can be computed directly without iteration from the observed distribution of -values.
منابع مشابه
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