一级模型和叉积矩阵

C. Dias, C. Santos, J. Mexia
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引用次数: 0

摘要

一级模型可以应用于交叉积矩阵和Hilbert-Schmidt标量积矩阵。后者在STATIS方法的第一阶段(内部结构)中起重要作用,而前者矩阵(特别是具有相同非零特征值的AAt和AtA交叉积)在推理中起重要作用。秩一的情况很有趣,因为矩阵XXt的第一个特征向量可以用来描述对应于x列的变量的行为。我们现在考虑对(λ, α)的估计量并检验平均矩阵为秩一。我们将所得结果应用于叉乘矩阵XXt,并给出一个数值例子
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Degree-one Models and Cross Product Matrices
Degree-one models can be applied to cross products matrices and Hilbert-Schmidt scalar products matrices. The latter have an important role in the first stage (inter-structure) of STATIS methodology, while the former matrices (in particular the AAt and AtA cross products, which have the same non-null eigenvalues) have an important role in inference. The case of rank one is interesting since the first eigenvector of matrix XXt may be used to describe the behavior of the variables corresponding to the columns of X. We now consider the estimators of the pair (λ, α) and testing that the mean matrix as rank one. We apply our results to cross product matrices XXt, given an numerical example
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