At 4:21 AM -0400 7/1/00, Donald Burrill wrote:
As I vaguely recall, I found this years ago in Snedecor and Cochran.
...
> Using linear through cubic predictors almost works, but has the
>interesting defect of predicting a negative weight for day 6; since one
>clearly doesn't want to stop a
At 4:16 PM +0200 7/1/00, dekkers wrote:
>Hi,
>
>Does someone know were I can download an EXCEL macro for lin reg?
>Besides it calculates the y=bx+a I like the possibility to give Y and
>then the macro calculates the x with s.
>
>thanks
>
>ad dekkers
>
>
Do you really want a macro?
There are four
A much more general problem. Suppose there are k samples, each from R(0,1),
each of size n. Suppose the largest value in sample i is x_i. Then the
product z of the x_i is derived by Rider (JASA, 1955). Yours is the (very)
special case in which n=1 and k=2. The general result, in TeX, is
p(z) = \
Hi,
Does someone know were I can download an EXCEL macro for lin reg?
Besides it calculates the y=bx+a I like the possibility to give Y and
then the macro calculates the x with s.
thanks
ad dekkers
===
This list is open t
Re the chicks data posted by Don Burrill...
A reference is Snedecor and Cochran, Statistical Methods (7th ed.),
Iowa State University Press, Ames, IA, 1980, pp.394-406, which gives
an extensive analysis, including fitting an exponential and orthogonal
polynomials.
There is more on orthogonality
On Fri, 30 Jun 2000, Bob Hayden wrote:
> Tom Moore asked...
>
> Does anyone know of a good example of cubic regression that you'd be
> willing to share?
and Bob replied with an example. Here's another; Bob, would you forward
it to Tom, as I don't have his address?
As I vaguely recall, I fo
