The FMM Procedure (Experimental)

The FMM procedure makes the following assumptions in fitting statistical models:

• The number of components in the finite mixture is known a priori and is not a parameter to be estimated.

• The parameters of the components are distinct a priori.

• The observations are uncorrelated.