A Clustering-based Test for Nonadditivity in an Unreplicated Two-way Layout

A Clustering-based Test for Nonadditivity in an Unreplicated Two-way Layout
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非复制双向布局中非可加性的基于聚类的测试

DOI:
10.1080/03610918.2013.870196
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发表时间:
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期刊:
Communications in Statistics - Simulation and Computation
影响因子:
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通讯作者:
H.P. Piepho
H.P. Piepho
中科院分区:
--
文献类型:
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作者:
W.A. Malik;J. Möhring ;H.P. Piepho

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当两个因素的每个水平组合都有几个重复时,可以通过通常的双向方差分析方法来检验非可加性。然而,当实验没有重复时(双向分类的每个细胞一个观察值),ANOVA方法不能使用。已经开发了几个测试来解决非可加性的非重复实验,从Tukey的非可加性的一自由度测试开始。它们中的大多数假设相互作用项具有乘法形式。但是,如果假设的功能形式不合适,这种测试的功率就很低。这导致测试没有为交互项假定特定的形式。本文提出了一种不假设特定交互形式的交互测试新方法。与先前的测试相比,所建议的测试有一个优点,即它也可以用于不完整的双向表。进行了仿真研究,以评估所提出的测试的能力,并将其与其他已知的测试进行比较。
When there are several replicates available at each level combination of two factors, testing nonadditivity can be done by the usual two-way ANOVA method. However, the ANOVA method cannot be used when the experiment is unreplicated (one observation per cell of the two-way classification). Several tests have been developed to address nonadditivity in unreplicated experiments starting with Tukey's one-degree-of-freedom test for nonadditivity. Most of them assume that the interaction term has a multiplicative form. But such tests have low power if the assumed functional form is inappropriate. This leads to tests which do not assume a specific form for the interaction term. This paper proposes a new method for testing interaction which does not assume a specific form of interaction. The proposed test has the advantage over the earlier tests that it can also be used for incomplete two-way tables. A simulation study is performed to evaluate the power of the proposed test and compare it with other well-known tests.
一种用于测试非重复因子实验中是否存在相互作用的启发式技术
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