In this paper, several approaches are presented for the estimation of false call rate including confidence bounds during an NDE reliability study. Bootstrapping methods are applied to nonparametric models (for hit-miss data) and several noise distribution models. By applying bootstrapping with a student t-distribution used to address the “heavy tail” behavior of the data, the estimated false call rate with confidence bounds was found to be in good agreement with the observed data.