Exact Inference for the Dispersion Matrix

A. Hutson, G. Wilding, Jihnhee Yu, A. Vexler
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引用次数: 1

Abstract

We develop a new and novel exact permutation test for prespecified correlation structures such as compound symmetry or spherical structures under standard assumptions. The key feature of the work contained in this note is the distribution free aspect of our procedures that frees us from the standard and sometimes unrealistic multivariate normality constraint commonly needed for other methods.
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色散矩阵的精确推断
在标准假设条件下,对复合对称或球形结构等预定相关结构提出了一种新的精确排列检验方法。本说明中包含的工作的关键特征是我们的过程的无分布方面,这使我们摆脱了其他方法通常需要的标准的、有时不切实际的多元正态性约束。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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Exact Inference for the Dispersion Matrix
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