The Neyman-Pearson formulation of the hypothesis testing problem comes down to maximizing power, usually denoted 1– β , where β is the probability of making a Type II error, subject to a level constraint, usually denoted α.
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© 2009 Springer-Verlag New York
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Clarke, B., Fokoué, E., Zhang, H.H. (2009). Multiple Testing. In: Principles and Theory for Data Mining and Machine Learning. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-0-387-98135-2_11
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DOI: https://doi.org/10.1007/978-0-387-98135-2_11
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