论文部分内容阅读
对重复观测资料进行一元方差分析时，往往首先要考虑协方差阵的结构特征，而这类资料的轮廓分析则无需对协方差阵结构作出假定。本文在ＳＡＳ软件的基础上对轮廓分析的假设检验进行了讨论，并附应用实例。
When one-way analysis of variance is performed on repeated observations, the structural characteristics of the covariance matrix are often first considered. However, the analysis of such data does not require assumptions about the covariance matrix structure. This paper discusses the hypothesis testing of contour analysis on the basis of SAS software and attaches application examples.