A type II error is a statistical term referring to accepting a false null hypothesis. It contrasts with a type I error that occurs when rejecting a true null hypothesis.

Robert E. Bechhofer, Salah Elmaghraby, Norman Morse, A Single-Sample Multiple-Decision Procedure for Selecting the Multinomial Event Which Has the Highest Probability, The Annals of Mathematical ...

Estimation of the proportion or the number of true null hypotheses is an important problem in multiple testing, especially when the number of hypotheses is large. Wu, Guan and Zhao [Biometrics 62 ...