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A non-parametric ANOVA-type test for regression curves based on characteristic functions

机译:基于特征函数的回归曲线的非参数方差分析类型检验

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摘要

This article studies a new procedure to test for the equality of k regressioncurves in a fully nonparametric context. The test is based on the comparison of empirical estimators of the characteristic functions of the regression residuals in each population. The asymptotic behaviour of the test statistic is studied in detail. It is shown that under the null hypothesis the distribution of the test statistic converges to a finite combination of independent χ21random variables. The coefficients in this linear combination can be consistently estimated. The proposed test is able to detect contiguous alternatives converging to the null at the rate n−1/2. The practicalperformance of the test based on the asymptotic null distribution is investigated by means of simulations.
机译:本文研究了一种在完全非参数情况下测试k回归曲线是否相等的新过程。该检验基于对每个总体中回归残差的特征函数的经验估计量的比较。检验检验统计量的渐近行为。结果表明,在原假设下,检验统计量的分布收敛到独立的χ21随机变量的有限组合。该线性组合中的系数可以被一致地估计。所提出的测试能够检测以n-1 / 2速率收敛到零的连续替代项。通过仿真研究了基于渐近零分布的测试的实际性能。

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