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Fitting Linear Models > Mixed Models > Mixed Model Report and Options > Repeated Effects Covariance Parameter Estimates
Publication date: 04/21/2023

Image shown hereRepeated 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.

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