ABSTRACT
In this chapter we discuss the theory for a rank-based analysis of a general linear model. Applications of this analysis to experimental design models are discussed in Chapters 4 and 5. The rank-based analysis is complete, consisting of estimation, testing, and diagnostic tools for checking the adequacy of fit of the model, outlier detection, and detection of influential cases. As in the earlier chapters, we present the analysis in terms of its geometry.
