[R] Number of components in a mixture model
kevin_xie at hotmail.com
Wed Jul 30 17:24:54 CEST 2003
I'm fitting a set of length-of-stay data by a model of mixture of
exponentials. I've been following the example on page 436 in MASS (5th Ed.).
However, I have a couple of questions while following this example.
What if we don't know how many components there are in the model in advance.
Is there any established method to determine the number of components from a
set of data? I'm aware that the usual likelihood ratio test is not
appropriate in this case due to the possibility that the ML could occur at
the boundry of the parameter space.
Secondly, the example in MASS uses a Q-Q plot to informally assess GOF. I
was wondering if there are some more formal statistical tests for this
I appologise for asking questions that are slightly out-of-topic.
More information about the R-help