一种新的非参数方法比较两种干预措施之间的配对一般统计分布
A Novel Non-Parametric Approach to Compare Paired General Statistical Distributions between Two Interventions
摘要：
尽管两组观测值之间的差异有很多度量方法，如均值、中值、样本标准差等，但本文提出了一种基于Malows距离的非参数变换方法来研究两组观测值之间的位置差异和方差差异。本文构造了该方法的凸性理论，因而对任何分布的数据都是可行的。此外，我们能够建立类似的方法下的其他距离的措施，如Kolmogorov-Smirnov距离。我们的方法在实际数据中的应用，以及执行。
英文摘要：
Despite of many measures applied for determine the difference between two groups of observations, such as mean value, median value, sample stan- dard deviation and so on, we propose a novel non parametric transformation method based on Mallows distance to investigate the location and variance differences between the two groups. The convexity theory of this method is constructed and thus it is a viable alternative for data of any distribu- tions. In addition, we are able to establish the similar method under other distance measures, such as Kolmogorov-Smirnov distance. The application of our method in real data is performed as well.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
