New Results for Computing Blaker's Exact Confidence Interval for One Parameter Discrete Distributions

摘要

The authors state new general results for computing Blaker's exact confidence interval limits for usual one-parameter discrete distributions. Specific results for implementing an accurate and fast algorithm are made explicit for the binomial, negative binomial, Poisson and hypergeometric model.