Modeling and Multivariate Methods - SAS

Appendix A
Statistical Details
Models in JMP
This appendix discusses the different types of response models, their factors, their design coding, and
parameterization. It also includes many other details of methods described in the main text.
The JMP system fits linear models to three different types of response models that are labeled continuous,
ordinal, and nominal. Many details on the factor side are the same between the different response models,
but JMP only supports graphics and marginal profiles on continuous responses—not on ordinal and
nominal.
Different computer programs use different design-matrix codings, and thus parameterizations, to fit effects
and construct hypothesis tests. JMP uses a different coding than the GLM procedure in the SAS system,
although in most cases JMP and SAS GLM procedure produce the same results. The following sections
describe the details of JMP coding and highlight those cases when it differs from that of the SAS GLM
procedure, which is frequently cited as the industry standard.