标题： 关于双数据集问题 显示英文标题

标题： On the two-dataset problem

摘要： 本文考虑了两数据集问题，其中的数据来自两个可能不同的共享共同特征的总体。 当数据由两种不同类型的调查员收集或来自两个不同来源时，就会出现这个问题。 如果不使用有关数据收集过程的知识，我们可能会得出无效的结论。 为了解决这个问题，本文开发了统计模型，重点关注测量差异，并提出了两个预测误差，有助于评估潜在的数据收集过程。 因此，有可能从预测的角度讨论数据的异质性/相似性。 选择了两个真实数据集来说明我们的方法。 显示英文摘要

摘要： This paper considers the two-dataset problem, where data are collected from two potentially different populations sharing common aspects. This problem arises when data are collected by two different types of researchers or from two different sources. We may reach invalid conclusions without using knowledge about the data collection process. To address this problem, this paper develops statistical models focusing on the difference in measurement and proposes two prediction errors that help to evaluate the underlying data collection process. As a consequence, it is possible to discuss the heterogeneity/similarity of data in terms of prediction. Two real datasets are selected to illustrate our method.