On Wed, 5 Apr 2000, Xinxin Shao wrote:
> I meet a problem to analysis a group data. The data consist of 2 or
> more Normal distributions with different mean.
You describe two problems:
(1) I want to find the sigma and mu of the distribution with the largest
area.
(2) How can I seperate this normal distribution from others?
If you can do (2), then (1) becomes easy; and if (2) is what you really
want and need to do, that's what you need to focus on. But if all you
really need is (1), that's a different sort of technical problem, and
there probably are ways of estimating that mu and sigma without having
first to separate the elements of that distribution from the elements of
all the other distributions that may be present.
It would probably be helpful (to whichever of our colleagues are moved
to try to address this problem!) to have rather more context. What
exactly do you mean by "the distribution with the largest area" ?
How are you approaching the problem in the first place? (E.g., how do
you know you have "two or more normal distributions with different
means", and can you narrow that down to two, or three, or four such
distributions? Would the problem be different if the distributions were
binomial, or exponential, or Poisson, or ...?)
[Don't reply only to me, by the way: reply to the list as well. I'm not
at all sure I know precisely how to do whatever it is you want to do.
Circulating the problem to more people can only be helpful...]
-- DFB.
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Donald F. Burrill [EMAIL PROTECTED]
348 Hyde Hall, Plymouth State College, [EMAIL PROTECTED]
MSC #29, Plymouth, NH 03264 603-535-2597
184 Nashua Road, Bedford, NH 03110 603-471-7128
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