The RELIABILITY Procedure

ESTIMATE Statement

ESTIMATE <'label'> estimate-specification <(divisor=n)><, …<'label'> estimate-specification <(divisor=n)>></ options> ;

The ESTIMATE statement provides a mechanism for obtaining custom hypothesis tests. Estimates are formed as linear estimable functions of the form $\bL \bbeta$ . You can perform hypothesis tests for the estimable functions, construct confidence limits, and obtain specific nonlinear transformations.

Table 16.9 summarizes the options available in the ESTIMATE statement.

Table 16.9: ESTIMATE Statement Options

Option	Description
Construction and Computation of Estimable Functions
DIVISOR= in SAS/STAT User's Guide	Specifies a list of values to divide the coefficients
NOFILL in SAS/STAT User's Guide	Suppresses the automatic fill-in of coefficients for higher-order effects
SINGULAR= in SAS/STAT User's Guide	Tunes the estimability checking difference
Degrees of Freedom and p-values
ADJUST= in SAS/STAT User's Guide	Determines the method for multiple comparison adjustment of estimates
ALPHA= in SAS/STAT User's Guide $\alpha$	Determines the confidence level ( $1-\alpha$ )
LOWER in SAS/STAT User's Guide	Performs one-sided, lower-tailed inference
STEPDOWN in SAS/STAT User's Guide	Adjusts multiplicity-corrected p-values further in a step-down fashion
TESTVALUE= in SAS/STAT User's Guide	Specifies values under the null hypothesis for tests
UPPER in SAS/STAT User's Guide	Performs one-sided, upper-tailed inference
Statistical Output
CL in SAS/STAT User's Guide	Constructs confidence limits
CORR in SAS/STAT User's Guide	Displays the correlation matrix of estimates
COV in SAS/STAT User's Guide	Displays the covariance matrix of estimates
E in SAS/STAT User's Guide	Prints the $\mb {L}$ matrix
JOINT in SAS/STAT User's Guide	Produces a joint F or chi-square test for the estimable functions
SEED= in SAS/STAT User's Guide	Specifies the seed for computations that depend on random numbers

For details about the syntax of the ESTIMATE statement, see the section ESTIMATE Statement in SAS/STAT User's Guide in Chapter 19: Shared Concepts and Topics in SAS/STAT User's Guide.