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On preferences of general two-sided tests with applications to Kolmogorov-Smirnov-type tests

机译:关于一般双面测试在Kolmogorov-Smirnov型测试中的应用偏好

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摘要

Power functions of tests for Gaussian shift experiments on infinite dimensional Hilbert spaces usually can not be calculated explicitly. Therefore one analyzes the behavior of such tests in the neighborhood of the null hypothesis. Useful measures to compare the quality of different testing procedures are the gradient of a one-sided and the curvature of a two-sided test in the null hypothesis. Janssen (1995) showed that a principal component decomposition of the curvature exists based on a Hilbert-Schmidt operator. It follows that these tests have only acceptable power for a finite number of directions. In this paper we prove an even stronger general result for Gauss shifts under just mild additional assumptions. A certain optimally property of a one-sided test implicates that for a small level α the corresponding two-sided test acts only in a single direction. The results are applied to Kolmogorov-Smirnov type tests and the signal detection problem.
机译:通常无法明确地计算出在无穷维希尔伯特空间上进行高斯位移实验的检验的幂函数。因此,人们在原假设的附近分析了这种检验的行为。用来比较不同测试过程质量的有用措施是在原假设中使用单侧测试的梯度和双侧测试的曲率。 Janssen(1995)表明,基于Hilbert-Schmidt算子,存在曲率的主成分分解。因此,这些测试仅在有限数量的方向上具有可接受的功率。在本文中,我们证明了在适度的附加假设下,高斯频移的更强总体结果。单面测试的某种最佳性能意味着,对于较小的水平α,相应的单面测试仅在单个方向上起作用。将结果应用于Kolmogorov-Smirnov型测试和信号检测问题。

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