On 11 Aug 2003 at 15:31, Maarten Speekenbrink wrote:

> Thank you Herman and Glen for your reply's...they have helped me a lot.
> have read something on log-concave distributions and now believe that the
> sum of log-concanve distributions will also have a log-concave distribution
> (and therefore is unimodal). However, I am wondering why the distribution of
> the sum of logistically distributed variables is clearly symmetric. Is the
> distribution of a sum of symmetrically distributed variables always
> symmetric?   

That easy. X is symmetric about a iff (X-a) has the same distribution 
as -(X-a), and Y is symmetric about b iff (Y-b) has the same 
distribution as -(Y-b). A little algebra gives the result.

Kjetil Halvorsen

I will probably use the Chebyshev type inequality (is this the
> Camp-Weidell inequality?) to compute a one-tailed  probability bound, so I
> think the information regarding symmetry is important.
> 
> Thank you again for your help, and hopefully you can help me out here as
> well!
> 
> Regards,
> 
> Maarten
> 
> 
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