Linked from

The 8 pages that link to Neyman–Pearson lemma, each with the reason it gives.

• Null hypothesisRelated: It frames null testing as a decision between specified hypotheses with controlled error rates.

• Likelihood ratioRelated: It shows why thresholding a likelihood ratio gives an optimal test in this setting.

• Frequentist statisticsRelated: It grounds the decision-theoretic approach to frequentist hypothesis testing.

• Frequentist inferenceRelated: It formalizes optimality within the error-rate framework of frequentist hypothesis testing.

• Detection theoryRelated: It establishes the optimal test when false alarms are constrained.