In this article, we consider the estimation of the marginal distributions for pairs of data are recorded, with unobserved order in each pair. New estimators are proposed and their asymptotic properties are established, by proving a Glivenko-Cantelli theorem and a functional central limit result. Results from a simulation study are included and we illustrate the applicability of the method on the homologous chromosomes data.

翻译：在本篇文章中,我们考虑记录对数据边际分布的估计,每对数据都有未观察到的顺序;通过证明Glivenko-Cantelli的定理和功能中心限制结果,提出新的估计数字并确立其无症状特性;将模拟研究的结果包括在内,我们说明该方法对同族染色体数据的适用性。