The notation:
denotes a distribution in which parameter
(instead of being fixed) has an
distribution. We wish to find the unconditional distribution of
...
Given: The pmf of is
:
![[Graphics:Images/mix_gr_8.gif]](Images/mix_gr_8.gif)
Given: The pdf of parameter is
:
![[Graphics:Images/mix_gr_11.gif]](Images/mix_gr_11.gif)
Then, the parameter-mix distribution is the expectation with respect to the distribution of Θ. The solution with mathStatica is simply:
![[Graphics:Images/mix_gr_13.gif]](Images/mix_gr_13.gif)
with domain of support:
![[Graphics:Images/mix_gr_15.gif]](Images/mix_gr_15.gif)
This is known as Holla's distribution. Here is a plot of its pmf when and
:
![[Graphics:Images/mix_gr_18.gif]](Images/mix_gr_18.gif)
Fig. 1: The pmf of Holla's distribution when and