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Modeling and Multivariate Methods - SAS

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Chapter 3 Fitting St<strong>and</strong>ard Least Squares Models 123<br />

Method of Moments Results<br />

The Variance Component Estimates table shows 95% confidence intervals for the variance components<br />

using the Satterthwaite (1946) approximation. If the Unbounded Variance Components options is used,<br />

the confidence intervals are +/-Wald style. You can right-click on the Variance Components Estimates table<br />

to toggle on the Norm KHC (Kackar-Harville correction). This value is an approximation of the magnitude<br />

of the increase in the mean squared errors of the estimators for the mixed model. See Kackar <strong>and</strong> Harville<br />

(1984) for a discussion of approximating st<strong>and</strong>ard errors in mixed models.<br />

REML Save Columns Options<br />

When you use the REML method, additional options appear in the Save Columns menu. All of these<br />

options allow the r<strong>and</strong>om effects predicted values to participate in the formulas, rather than using their<br />

expected value (zero).<br />

Table 3.16 Description of REML Save Columns Options<br />

Conditional Pred Formula<br />

Conditional Pred Values<br />

Conditional Residuals<br />

Conditional Mean CI<br />

Conditional Indiv CI<br />

Saves the prediction formula to a new column in the data table.<br />

Saves the predicted values to a new column in the data table.<br />

Saves the model residuals to a new column in the data table.<br />

Saves the mean confidence interval.<br />

Saves the confidence interval for an individual.<br />

REML Profiler Option<br />

When you use REML method <strong>and</strong> select Factor Profiling > Profiler, a new option, Conditional<br />

Predictions, appears on the red triangle menu next to Prediction Profiler. For details, see “Profiler Options”<br />

on page 562.<br />

Method of Moments Results<br />

Note: This section is only of use in matching historical results.<br />

We no longer recommend the Method of Moments, but we underst<strong>and</strong> the need to support it for teaching<br />

use, in order to match the results of many textbooks still in use.<br />

You have the option of choosing the EMS (Traditional) approach from the Method popup menu on the Fit<br />

Model dialog. This is also called the Method of Moments method.<br />

Results from the steps for the Method of Moments are as follows:<br />

• For each effect, the coefficients of the expected mean squares for that effect are calculated. This is a<br />

linear combination of the variance components <strong>and</strong> fixed effect values that describes the expected value<br />

of the mean square for that effect. All effects also have a unit coefficient on the residual variance.

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