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Re: Response to Gonzalo



Paul repeatedly makes this point:


>where you went wrong with [precise linear models. The trouble with
>non-linear models is, as I have said several times but you simply ignore,
>is that in any time series of points of observations, a nonlinear line
>can always be found that will "fit" the observations better than a linear
>line.  In other words if I have a scatter diagram, of ten points which,
>for the sake of discussion, are randomly distributed around a straight
>line, I can always find some line with nine turning points that will
>"fit" the data better than the straight line. That nonlinear nine-turning
>point curve is more precise in describing the position of the
>observations -- So what?

it is not correct of-course, although it depends on the meaning of "fit". the
linear model will be a more parsimonious model and therefore use the degrees of
freedom more efficiently, than a model which uses up all the data points (and
face breakdown of estimation).

kind regards
bill
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