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Peter wrote.

>
> Once again, you really need to be in the position of  having used the process
> in order to  be able to make this assertion.  An assertion based on what,
> apart from your theorising?
>
>> There's no magic process of eliminating
>> the random scatter. It remains the scatter in each single observation,
>> divided by the square root of the number of observations.
>
> If magic you require then the simple elimination of outliers (gross error) is
> magic enough, I suppose.  What you don't seem to understand is that all
> sights, unlike men, are not created equally.  Some are better than others. The
> HUGE disadvantage of your blind statistical process is that it can only treat
> them all equally.  Have you grasped the point about how just one gross error
> can drag the average well away from a nice little pattern that hugs the slope?

For al the words, the concept is simple:

Wouldn't it be nice to positively identify outliers?

This is not always possible with a linear regression as the outlier changes
the slope of the line segment. It is possible by using the actual Hc slope
and fitting it to the observations.

I cannot find the URL of the article, and it strikes me that Startpath may
be using a format that requires a reader other than Acrobat.

I do have a PDF of the article, but it is 552 K so I am reluctant to attach
it. I will happily send it along to anyone that requests it.

Bill B.


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