期刊论文详细信息
JOURNAL OF MULTIVARIATE ANALYSIS 卷:67
Algebraic descriptions of nominal multivariate discrete data
Article
Teugels, JL ; Van Horebeek, J
关键词: multivariate discrete distributions;    categorical data;    log-linear models;    marginal homogeneity;   
DOI  :  10.1006/jmva.1998.1764
来源: Elsevier
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【 摘 要 】

Traditionally, multivariate discrete data are analyzed by means of log-linear models. In this paper we show how an algebraic approach leads naturally to alternative models, parametrized in terms of the moments of the distribution. Moreover we derive a complete characterization of all meaningful transformations of the components and show how transformations affect the moments of a distribution. rt turns out that our models provide the necessary formal description of longitudinal data; moreover in the classical case, they can be considered as an analysis tool, complementary to log-linear models. (C) 1998 Academic Press.

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