Monte Carlo simulation in SAS - extreme outliers
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From: Church on 8 Mar 2010 06:07 Hi, I am running Monte Carlo simulation in SAS within the procedure proc model. While the simulations look reasonable overall, I see some extreme outliers in the tails of the distributions, more extreme than I would have expected in the tail. Is this a problem that is that is more often seen with SAS? If so, how can I prevent it? Thanks.
From: Paige Miller on 8 Mar 2010 09:53
On Mar 8, 6:07 am, Church <H.J.P...(a)uva.nl> wrote: > Is this a problem that is that is more often seen with SAS? If so, how > can I prevent it? I have no idea if this is "a problem that is that is [sic] more often seen with SAS", as I don't know what to compare SAS to. How can you prevent it? It's your simulation, you can determine exactly what distribution and what outliers are acceptable to you. If the points are too extreme for YOU (as opposed to too extreme for SAS, which they clearly are not), then delete these points. -- Paige Miller paige\dot\miller \at\ kodak\dot\com |