 
               

 
               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  . You can perform hypothesis tests for the estimable functions, construct confidence limits, and obtain specific nonlinear
               transformations.
. You can perform hypothesis tests for the estimable functions, construct confidence limits, and obtain specific nonlinear
               transformations. 
            
Table 81.10 summarizes the options available in the ESTIMATE statement.
Table 81.10: ESTIMATE Statement Options
| Option | Description | 
|---|---|
| Construction and Computation of Estimable Functions | |
| Specifies a list of values to divide the coefficients | |
| Suppresses the automatic fill-in of coefficients for higher-order effects | |
| Tunes the estimability checking difference | |
| Degrees of Freedom and p-values | |
| Determines the method for multiple comparison adjustment of estimates | |
|  Determines the confidence level ( | |
| Performs one-sided, lower-tailed inference | |
| Adjusts multiplicity-corrected p-values further in a step-down fashion | |
| Specifies values under the null hypothesis for tests | |
| Performs one-sided, upper-tailed inference | |
| Statistical Output | |
| Constructs confidence limits | |
| Displays the correlation matrix of estimates | |
| Displays the covariance matrix of estimates | |
|  Prints the  | |
| Produces a joint F or chi-square test for the estimable functions | |
| 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 Chapter 19: Shared Concepts and Topics.