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Nonparametric Tests for Testing Equality of Location Parameters of Two Multivariate Distributions

机译:用于检验两个多元分布的位置参数相等性的非参数检验

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In this paper, we have proposed two nonparametric tests for testing equal-ity of location parameters of two multivariate distributions based on thenotion of data depth. The proposed tests are extensions of the M-basedtest due to Li and Liu (2004). The performance of proposed tests has beenassessed for symmetric as well as skewed multivariate distributions by sim-ulation experiments. The tests have better performance in terms of poweras compared to the M-based test and some of their competitors. The use oftests is illustrated with body dimension data due to Heinz et al.(2003).
机译:在本文中,我们基于数据深度的概念提出了两个非参数检验,用于检验两个多元分布的位置参数的相等性。拟议的测试是由于Li和Liu(2004)提出的基于M的测试的扩展。通过模拟实验对对称分布和偏态多元分布的评估性能进行了评估。与基于M的测试及其一些竞争对手相比,这些测试在功率方面具有更好的性能。 Heinz等人(2003年)通过身体尺寸数据说明了测试的使用。

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