On the consistency of K-sign depth tests

IF 2 Q2 ECONOMICS Econometrics and Statistics Pub Date : 2023-10-01 DOI:10.1016/j.ecosta.2023.10.002
Kevin Leckey, Mirko Jakubzik, Christine H. Müller
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Abstract

The consistency of the so-called K-sign depth tests is considered. These tests are based on the K-sign depth, which originated from the simplicial regression depth, but is easier to compute. The K-sign depth tests use only the signs of residuals and are equivalent to the classical sign test for K=2. However, K-sign depth tests with K≥3 show a much better power than the classical sign tests in simulation studies. This property is attributed to the consistency of these tests for K=3. After deriving a general condition for consistency, it is shown that this condition is in particular satisfied for several relevant hypotheses in polynomial regression models.
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关于k符号深度检验的一致性
考虑了所谓的k符号深度检验的一致性。这些测试是基于k符号深度,它起源于简单回归深度,但更容易计算。K符号深度检验只使用残差的符号,与K=2的经典符号检验等效。然而,在模拟研究中,K≥3的K符号深度测试显示出比经典符号测试更好的能力。这一特性归因于K=3时这些测试的一致性。在推导出一致性的一般条件后,证明了多项式回归模型中的几个相关假设特别满足该条件。
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来源期刊
CiteScore
3.10
自引率
10.50%
发文量
84
期刊介绍: Econometrics and Statistics is the official journal of the networks Computational and Financial Econometrics and Computational and Methodological Statistics. It publishes research papers in all aspects of econometrics and statistics and comprises of the two sections Part A: Econometrics and Part B: Statistics.
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