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Nonparametric comparison of several transformations of distribution functions

机译:分布函数的几种变换的非参数比较

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This paper considers two random variables such that there exists a monotone transformation between their distribution functions. The problem is to test if there is a change in this transformation when these two variables are observed under K different conditions. The approach considered is a CUSUM test based on the cumulative sum of the residuals and a test statistic is proposed for testing the equality of the K transformations. The asymptotic distribution of the test statistic is derived and its finite sample properties are examined by simulation. As a further illustration, an analysis of a real data set concerning the impact of the financial crisis of September 2008 is given.
机译:本文考虑了两个随机变量,使得它们的分布函数之间存在单调变换。问题是要测试在K个不同的条件下观察到这两个变量时此转换是否有变化。所考虑的方法是基于残差的累积和的CUSUM检验,并提出了一种检验统计量以检验K变换的相等性。得出检验统计量的渐近分布,并通过仿真检查其有限样本属性。作为进一步的说明,给出了有关2008年9月金融危机影响的真实数据集的分析。

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