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• SAS/STAT Procedures A-Z

The VARCOMP Procedure

• fits general linear models with random effects (with the option of specifying certain effects as fixed)
• estimates the contribution of each random effect to the variance of the dependent variable
• effects must be represented by classification variables
• allows you to specify four general methods of estimation:
  • Type I
  • MIVQUE0
  • ML
  • REML
• provides a specialized analysis for gauge repeatability and reproducibility (GRR) studies for balanced one-way or two-way designs
• optionally computes confidence limits using modified large-sample methods when either the Type I or GRR methods are used
• obtain separate analyses on observations in groups
• use ODS to create a SAS data set corresponding to any table

For further details see the SAS/STAT User's Guide: The VARCOMP Procedure
( PDF | HTML )

Examples

• Using the Four General Estimation Methods
• Using the GRR Method

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