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JMP 10 Modeling and Multivariate Methods by SAS Institute

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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 ...

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