SIMTEST sim_test <sim_test ...> ;

where sim_test represents one of the following:
test_name = [ functions ]
test_name = { functions }
and functions are either parameters in the model or parametric functions computed in the SAS programming statements.

When the estimates in a model are asymptotically multivariate-normal, continuous and differentiable functions of the estimates are also multivariate-normally distributed. In the SIMTEST statement, you can test these parametric functions simultaneously. The null hypothesis for the simultaneous tests is assumed to have the following form:

: , , ...

where is the set of model parameters (independent or dependent) in the analysis and each is a continuous and differentiable function of the model parameters.

To test parametric functions simultaneously in the SIMTEST statement, you first assign a name for the simultaneously test in test_name. Then you put the parametric functions for the simultaneous test inside a pair of parentheses: either the '{' and '}' pair, or the '[' and ']' pair. For example, if , , , and are parameters in the model and you want to test the equality of and and the equality of and simultaneously, you can use the following statements:

   simtest  
      Equality_test = [t1_t2_diff t3_t4_diff];
   t1_t2_diff   = theta1 - theta2;
   t3_t4_diff   = theta3 - theta4;

In the SIMTEST statement, you test two functions t1_t2_diff and t3_t4_diff simultaneously in the test named Equality_test. The two parametric functions t1_t2_diff and t3_t4_diff are computed in the SAS programming statements as differences of some parameters in the model.

See also the TESTFUNC statement for testing parametric functions individually.