SOME LINEAR TRANSFORMATIONS FOR MIXTURES OF BINARY AND CONTINUOUS VARIABLES, WITH PARTICULAR REFERENCE TO LINEAR DISCRIMINANT-ANALYSIS
成果类型：
Article
署名作者：
KRZANOWSKI, WJ
刊物名称：
BIOMETRIKA
ISSN/ISSBN：
0006-3444
DOI：
10.1093/biomet/66.1.33
发表日期：
1979
页码：
3339
关键词：
摘要：
Suitable linear transformations for preliminary data analysis are available when data consist solely of continuous variables or solely of binary variables. When mixtures of variables are observed, neither technique provides a satisfactory procedure. Some linear transformations for such data are therefore proposed. The aim of the transformations is to simplify structure. An additional motivation comes from the field of discriminant analysis, where it is hoped that dimensionality can be reduced and the transformed data will be amenable to the use of a simple linear discriminant function in place of more complicated procedures. A test for adequacy of such a function is given, together with some examples.
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