JMP 13 Fitting Linear Models

Overview of the Mixed Model Personality

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 ...