期刊名称：Journal of Modern Applied Statistical Methods
出版年度：2004
卷号：3
期号：2
页码：16
出版社：Wayne State University
摘要：Researchers and practitioners in many scientific disciplines and industrial fields are often faced with complex problems when dealing with comparisons between two or more groups using classical parametric methods. The data arising from real problems rarely are in agreement with stringent parametric assumptions. The NonParametric Combination (NPC) methodology frees the researcher from stringent assumptions of parametric methods and allows a more flexible analysis, both in terms of specification of multivariate hypotheses and in terms of the nature of the variables involved in the analysis. An outline of NPC methodology is given, along with case studies.
关键词：Multivariate Inference; nonparametric combination; permutation test
