Re: Distributions
- From: "Ray Koopman" <koopman@xxxxxx>
- Date: 27 Jan 2006 15:05:39 -0800
Try a*sinh[b*(x-m)/s], where x is normal with mean m and variance s^2.
Ross Clement (Email address invalid - do not use) wrote:
> Can anyone please name a few distributions that are far more
> concentrated among the mean than the normal distribution. When I create
> a qq plot (qqnorm in R) for the data in question, the line is near
> horizontal except at the tails. And I do mean horizontal, not the x=y
> line for a perfect fit.
>
> I'm extremely tempted to consider the Cauchy distribution. The data are
> the errors when the place where a line meets the x axis is used to
> estimate a property. I'm aware that if we have lines at random angles,
> then the place where they intersect the x axis follows a Cauchy
> distribution. Hence I'm tempted to believe that if I'm looking at lines
> where the measured angle is a "true" angle plus an error angle, that
> the error of the x-intercept would follow a Cauchy distribution. But
> perhaps I'm misguided so I would appreciate comments and suggestions of
> other distributions that I should look at.
>
> Cheers,
>
> Ross-c
.
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