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Re: prediction den.list-d Digest V2005 #28
- Subject: Re: prediction den.list-d Digest V2005 #28
- From: hoeve899@wxs.nl
- Date: Tue, 19 Jul 2005 11:29:52 +0200
On 18 Jul 2005 at 9:27, John wrote:
> I found Petter Ogland's comments regarding regression to have some
> weaknesses, and Doug Hensler has raised part of the point in his post
> (below). Regression is fraught with difficulty when it comes to
> prediction, and, as we know, Dr. Deming was fond of saying that 'Management
> is prediction."
True to the point of steering.
>
> >From Lewis and Shewhart we see the elements of prediction as first a theory,
> then some some experience, and a degree of belief. Shewhart showed that the
> evidence (to be most useful) must have temporal spread.
You can calculate the correlation with a formula (familiar with you
all?) to see in what measure it correlated towards the lineair
regression line. The result of this correlation between 1 and 0 is the
percentage that you can rely on the resulting line as a signal for
further prediction when continued there where there are no
measurements already.
Maybe it would be good to take this a percentage from the length of
the line allowing only the percentage als allowable lengthening as a
trustworthy predication and also having the precentage as the
unsureness measure.
that means:
if the line has 100 points of measurements and the correlation
formula shows a value of 0,60 then you are only allowed to lenghten
the predictive length for 60 pointlengths. Also when the line would be
for example y=10 + 2*X it should show from point 100 untill point 160
the spreading range y = 10 + 3,2 *X 3,2 = 2 + 2*0,60 = 2+1,2 =
3,2 )at point 160 and from point 100 and to point 160 the spreading
range y =10 + 0,8 * X 0,8 = 2- 2*0,60 = 0,8.
when the correlation shows another value then the 0,60 and the
spreading has to be adjusted.
put it in an ongoing refresh of the added values and you have a
scheme which you could also relate to time, having even more
trustworthyness on prediction.
Could be worth a try out, while management of the variation is as
important.
greetings,
Henri
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