摘要：Recently, for a one-parameter exponential family of discrete distributions, the higher order approximation of randomized confidence intervals was derived from the optimum test by Akahira, Takahashi and Takeuchi[1]. In this paper, a numerical comparison of approximations of randomized confidence intervals is given and the higher order approximation is shown to be useful to construct confidence intervals for the negative binomial and logarithmic series distributions.
