Inequality Orderings, Normalized Stochastic Dominance, and Statistical Inference
推导了标准化随机占优（NSD）的大样本性质，并提供了渐近分布自由的统计推断方法。NSD是标准占优技术的扩展，可推广到更高阶占优，从而更有效地排序分布。作者用1970-1990年当前人口调查数据展示了该方法。
This article derives large-sample properties and provides asymptotically distribution-free statistical inference procedures for an alternative approach to inequality orderings—normalized stochastic dominance (NSD). NSD is a straightforward extension of standard dominance techniques. As such, it can be generalized to higher orders of dominance, thereby providing a more powerful technique for ranking distributions. We illustrate the NSD method by applying it to Current Population Survey data for 1970–1990.