Empirical Bayes Estimation in Sampling Inspection
研究了超几何分布中缺陷品数量的经验贝叶斯估计方法，利用经验贝叶斯恒等式简化计算，并通过家庭调查数据展示如何在不了解先验分布的情况下进行估计。
This paper considers an empirical Bayes approach to estimating the number of defectives in a hypergeometric distribution. It involves application of an empirical Bayes identity which has proved useful in providing simple Bayes estimates for various other models. Data on the reliability of coding the answers to questions from a household survey illustrate how an empirical Bayes estimate can be computed without knowledge of the prior distribution of the number of defectives.