| 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.
【 授权许可】
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【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| 10_1006_jmva_1998_1764.pdf | 606KB |
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