CORRESPONDENCE-ANALYSIS OF MULTIVARIATE CATEGORICAL-DATA BY WEIGHTED LEAST-SQUARES
成果类型：
Article
署名作者：
GREENACRE, MJ
刊物名称：
BIOMETRIKA
ISSN/ISSBN：
0006-3444
发表日期：
1988
页码：
457467
关键词：
摘要：
A generalization of correspondence analysis to multivariate categorical data is proposed, where all two-way contingency tables of a set of categorical variables are simultaneously fitted by weighted least-squares. An alternating least-squares algorithm is developed to perform the fitting. This technique has a number of advantages over the usual generalization known as multiple correspondence analysis. It is also an analogue of least-squares factor analysis for categorical data.