Interpretation and Estimation in Ranking Theory
给出了随机观察者对k个对象排序的期望秩的简单概率解释，并由此导出参数模型中的一致估计方法，区别于前人使用的近似似然法。
A simple probabilistic interpretation is given to the expected ranks of k objects ordered by randomly generated observers. The result is shown to yield naturally an estimation procedure in a parametric model for the distribution of permutations. The resulting estimators, in contrast to those suggested by previous authors using approximate likelihood, are consistent for the parameters.