The interaction concept of K-systems theory

被引:1
|
作者
Gouw, D
Jones, B
机构
[1] Computer Science Department, Louisiana State University, Baton Rouge
[2] Department of Computer Science, Louisiana State University, Baton Rouge, LA
[3] University of Michigan, Dearborn, MI
[4] Louisiana State University, Baton Rouge, LA
关键词
reconstructibility analysis; k-systems interaction; statistical interaction; maximum entropy; information theory;
D O I
10.1080/03081079608945113
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Klir systems theory or K-systems theory is an offshoot of reconstructability analysis. It provides a setting wherein common problems of statistics can be solved using the power of information theory. A cursory comparison of K-systems theory and the analysis of variance has been given [Jones, 1986]. However, the details of how to compute a K-systems interaction were not given, nor were any quantitative differences demonstrated, and the substate cognitive content measure suggested failed to provide an adequate representation of a multivariate interaction. This has led to some confusion and criticism of the work. This paper provides the fine details of the interaction concept in the K-systems and statistical context, as well as a comparative example which shows greatly disparate results. From the K-systems interaction defined here, we see that the conclusions of the original work remain valid. That is, K-systems constitute a correct model for interactions.
引用
收藏
页码:163 / 169
页数:7
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