Re: [R] add a point to regression line and cook's distance

[Tony Plate]

One way of implementing some Bayesian techniques is to add data points 
based on prior knowledge.  E.g., see Gelman, Carlin, Stern & Rubin, in 
"Bayesian Data Analysis" (1997) for how a prior on a regression parameter 
can be interpreted as an additional data point.  (Section 8.9 in my 2000 
reprint).

hope this helps,

Tony Plate

At Wednesday 02:31 PM 12/3/2003 -0800, [EMAIL PROTECTED] wrote:
Hi,

This is more a statistics question rather than R question. But I thought 
people on this list may have some pointers.

MY question is like the following:
I would like to have a robust regression line. The data I have are mostly 
clustered around a small range. So
the regression line tend to be influenced strongly by outlier points (with 
large cook's distance). From the application
's background, I know that the line should pass (0,0), which is far away 
from the data cloud. I would like to add this
point to have a more robust line. The question is: does it make sense to 
do this? what are the negative impacts if any?

thanks,
jonathan
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Tony Plate   [EMAIL PROTECTED]

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