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JMP 11 Fitting Linear Models by SAS Institute

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Overview of the Mixed Model Personality
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In JMP Pro, the Mixed Model personality lets you analyze models with complex covariance structures. The situations that can be analyzed include:
Split plot experiments
Random coefficients models
Repeated measures designs
Spatial data
Correlated response data
Split plot experiments are experiments with two or more levels, or sizes, of experimental units resulting in multiple error terms. Such designs are often necessary when some factors are easy to vary and others are more difficult to vary. (See the Custom Design chapter in Design of Experiments Guide.)
Random coefficients models are also known ...

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