uses random simulation to approximate various statistics. This
entails no compromise, and it makes computations easy that would
otherwise be impossible. The only issue is ensuring that you have
sufficient random draws for the level of precision (number of
significant digits) you desire. For example, if you need 2 digits to
the right of the decimal point for a table you plan to present, you
can check that the number of simulations is set high enough by running
the analysis twice and verifying that the first two digits do not
change. If they do change, increase _Esims and try again
until the two runs give the same answer to two digits. (If you really
want exactly the same numbers for each replication, set the Gauss
random number seed with the Gauss command rndseed before
running
, although this would only be useful for testing.) See
Chapter 8.