In article <9a34h9$r7k$[EMAIL PROTECTED]>, Dave J. <[EMAIL PROTECTED]> wrote:
>Could anyone recommend a good starting point for learning more about mixture
>models? I've had several stats classes, none of which has addressed this
>topic, and I need to start somewhere. Thanks.
A mixture model is just that; in the simplest case, a
distribution is the mixture of distributions. The
problems come in the very difficult job of estimating
the components; without lots of assumptions, there
are typically an infinite number of solutions, even
if the exact distribution is known. It is often the
case that even assuming that one has a mixture of a
few distributions of a given type, the estimation
problem is quite difficult.
--
This address is for information only. I do not claim that these views
are those of the Statistics Department or of Purdue University.
Herman Rubin, Dept. of Statistics, Purdue Univ., West Lafayette IN47907-1399
[EMAIL PROTECTED] Phone: (765)494-6054 FAX: (765)494-0558
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