A Solution to the Problem of Optimum Stratification in Multivariate Sampling
提出一种基于聚类分析的分层准则函数，用于解决多元分层抽样中的最优分层问题，并以墨西哥各州按九项社会经济变量分层为例进行验证。
SUMMARY In this paper the use of cluster analysis in stratification is considered. A clustering or stratification criterion function is suggested which is derived within the context of multivariate stratified sampling. A case study in which the States of Mexico are stratified with respect to nine socio-economic variables is presented.