In this manuscript we review two methods to construct exact confidence bounds for an unknown real parameter in a general class of discrete statistical models. These models include the binomial family, the Poisson family as well as distributions connected to odds ratios in two-by-two tables. In particular, we discuss Sterne's (1954) method in our general framework and present an explicit algorithm for the computation of the resulting confidence bounds. The methods are illustrated with various examples.

翻译：在这份手稿中,我们审查了两种方法来构建一个未知的真实参数的精确置信度界限,在一组离散统计模型的一般类别中。这些模型包括二成式家庭、Poisson家庭,以及两对二的表格中与差异比有关的分布。特别是,我们在我们的总框架中讨论了Sterne(1954年)的方法,并提出了计算由此产生的信任界限的明确算法。这些方法用各种例子加以说明。