Repeated Effects Covariance Parameter Estimates
The Repeated Effects Covariance Parameter Estimates report in the Mixed Model personality provides details for the covariance parameters of the repeated effects that you specified in the model. It includes the Estimate, Standard Error, and 95% confidence bounds for each parameter. For isotropic spatial models, the covariance parameter estimates have interpretations in terms of range, nugget, and sill. See Variogram.
Note: Variances are covariances of effects with themselves.
The Repeated Effects Covariance Parameter Estimates table contains the following columns:
Covariance Parameter
Lists all the covariance parameters for the repeated effects in the model.
Estimate
Gives the estimated variance or covariance component for the effect.
Std Error
Gives the standard error for the variance or covariance component estimate.
95% Lower
Gives the lower 95% confidence limit for the covariance component. You can change the α level in the Fit Model window by selecting Set Alpha Level from the Model Specification red triangle menu. See Confidence Intervals for Variance Components.
95% Upper
Gives the upper 95% confidence limit for the covariance component. You can change the α level in the Fit Model window by selecting Set Alpha Level from the Model Specification red triangle menu. See Confidence Intervals for Variance Components.