Koch G G, Landis J R, Freeman J L, Freeman D H, Lehnen R C
Biometrics. 1977 Mar;33(1):133-58.
This paper is concerned with the analysis of multivariate categorical data which are obtained from repeated measurement experiments. An expository discussion of pertinent hypotheses for such situations is given, and appropriate test statistics are developed through the application of weighted least squares methods. Special consideration is given to computational problems associated with the manipulation of large tables including the treatment of empty cells. Three applications of the methodology are provided.
本文关注的是对从重复测量实验中获得的多变量分类数据的分析。文中给出了针对此类情况的相关假设的说明性讨论，并通过应用加权最小二乘法开发了合适的检验统计量。特别考虑了与大型表格处理相关的计算问题，包括空单元格的处理。提供了该方法的三个应用实例。
