一系列研究的演化推论

Aníbal Areia, J. Mexia, Manuela M. Oliveira
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引用次数: 0

摘要

研究将是矩阵三元组(X,Dp,Dn),其中矩阵X每个对象有一行,每个变量有一列,而Dp和Dn分别是对象和变量的权重矩阵。,k,我们将矩阵三元组压缩为Ai = XiDpXtiDn,并对矩阵S = [Sij],i,j = 1,…,k,用Sij = tr(AiAjt)研究级数演化。当我们对基础设计的每个处理进行一系列研究时,我们进行类似方差分析的推断,以研究基础设计中因素对与不同处理相关的系列演变的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Inference for the Evolution in Series of Studies
Studies will be matrix triplets (X,Dp,Dn), where the matrix X has a row per object and a column per variable, while Dp and Dn are weight matrices for objects and variables, respectively. Given a series of studies (Xi,Dp,Dn),i=1,...,k, we condense the matrix triplets into the Ai = XiDpXtiDn, and use spectral analysis of matrix S = [Sij],i,j = 1,...,k, with Sij = tr(AiAjt) to study the series evolution. When we have a series of studies for each treatment of a basis design we carry out an ANOVA-like inference to study the action of the factors in the base design on the evolution of the series associated to the differents treatments.
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