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Re: About REGRESS.pro [message #47875 is a reply to message #47804] Wed, 08 March 2006 06:31 Go to previous messageGo to previous message
K. Bowman is currently offline  K. Bowman
Messages: 330
Registered: May 2000
Senior Member
In article <1141808047.118961.137550@z34g2000cwc.googlegroups.com>,
"Daelomin" <joey.pourriciel@gmail.com> wrote:

> Very nice!
>
> IDL> stochastic_test(n=1000)
> 1.00000 0.500000
> 1.00255 0.526448
> IDL> stochastic_test(n=10000)
> 1.00000 0.500000
> 0.998914 0.493785
> IDL> stochastic_test(n=100000)
> 1.00000 0.500000
> 0.999659 0.500338
>
> Convergence rate is a bit slow it'd seem no? What do think Ken?
>
> All in all it's ok, just means you need really large datasets I guess.

Most introductory statistics books discuss the sampling distributions of the
linear regression estimates for a, b, and r.

Also, I would include the /DOUBLE keyword in REGRESS to help minimize
accumulated roundoff error.

Ken Bowman
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