Assumptions
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The HPFMM Procedure

Assumptions

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

  • The number of components k 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.

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