| To: | <s-news@lists.biostat.wustl.edu> |
|---|---|
| Subject: | FW: Gumbel Distribution pdf |
| From: | "Lambert.Winnie" <lambert.winnie@ensco.com> |
| Date: | Wed, 21 May 2003 10:19:39 -0400 |
| Thread-index: | AcMUmqp4rkYJFUv+S/yMtok/PBJB4gJeyBrAAGOHDeA= |
| Thread-topic: | Gumbel Distribution pdf |
|
All,
This is a non-SPLUS
related stats question from a co-worker. Would anyone like to tackle
this? Thanks.
-----Original Message-----
From: Short.Dave Sent: Monday, May 19, 2003 11:03 AM To: Lambert.Winnie Subject: Gumbel Distribution pdf Winnie,
I have a question about the Gumbel
distribution that may require the expertise of the S-PLUS
community.
If I assume an underlying Gaussian
process with mean=mu and standard deviation=sigma, and look at
the
theoretical distribution of maxima drawn from samples
comprised of a large number of realizations of the process,
the
Gumbel pdf is the answer, according to my understanding.
The resulting Gumbel pdf can be
derived from the parameters of the Gaussian process, mu and
sigma.
What puzzles me is that the mode of
the resulting Gubel pdf appears to be equal to mu, the mean of the
underlying Gaussian process, and that there is a
non-negligible probability that maximum from a large sample
of the
Gaussian process will be less than its average value. This seems
counter-intuitive. I would have thought that the
maximum
of a
large sample from the process would almost always come from the upper tail of
the process, well above the mean.
Perhaps I have misunderstood
something.
Any
comments or suggestions that you or your colleagues may have are most
welcome.
Many
thanks,
Dave
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