Re: 3rd degree polynom curve fitting, correlation needed

2001-06-18 Thread Paige Miller

Matti Overmark wrote:

 I have fitted a 3 rd degree curve to a sample (least square method), and
 I want to compare this particular R2 with that of
 a (similarily) fitted 2 degree polynom.

I can assure you that the 3rd degree polynomial will fit as well or
better than the 2nd degree polynomial, as measured by R-squared. If you
want a statistical test to test the hypothesis that the 3rd degree model
yields a significantly better fit compared to the second degree model,
then you should do an extra-sums-of-squares test, as explained in the
fine textbook by Draper and Smith Applied Regression Analysis.
 
 I want to see which of the two models is the best.
 Any suggestion of a good book?

A plot would work just fine, if you want to see how the models fit.

-- 
Paige Miller
Eastman Kodak Company
[EMAIL PROTECTED]

It's nothing until I call it! -- Bill Klem, NL Umpire
When you get the choice to sit it out or dance,
   I hope you dance -- Lee Ann Womack


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Re: Confidence region plots

2001-04-18 Thread Paige Miller

carl lee wrote:
 
 Hello, there:
 
 I am looking for software or programs that has procedure for drawing
 confidence region for bivariate cases, such as Youden Plot. I am not
 aware that the commonly used software such as Minitab, SPSS or SAS has
 procedures for this. If anyone has such a program or happens to know any
 resource, I would appreciate for such information.

I am not sure what a Youden Plot is, however, bivariate normal
confidence ellipses are not hard to draw in SAS, particularly if you
use the procedure outlined in Jackson, J. E. (1991) "A User's Guide To
Principal Components", John Wiley and Sons, New York, Chapter 15.

-- 
Paige Miller
Eastman Kodak Company
[EMAIL PROTECTED]

"It's nothing until I call it!" -- Bill Klem, NL Umpire
"Those black-eyed peas tasted all right to me" -- Dixie Chicks


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Re: Paired t test Question

2001-04-05 Thread Paige Miller

"Andrew L." wrote:
 
 I am anlaysing some data and want to administer a paired t test.  Although i
 can perform the test, i am not totally familiar with the t-test.  Can anyone
 tell me whether the test relies on having a large number of samples, or
 whether i can still realte an accurate answer from n=4 (n= number of
 participants).
 
 Also, does anyone know what the F stands for - i think it means F-test.
 What is this test designed to show.

I think you should definitely get a basic introductory book on
statistics and brush up on your statistical knowledge. In regards to
your specific questions, the accuracy of your results doesn't really
depend on the sample size, but the precision does. Your comparison of
the means (You do want to compare means, don't you? You didn't
actually say that...) will not be very precise with just 4 samples. F
may stand for an F-test and it may stand for a lot of other things; I
don't normally associate doing a F-test with a paired t-test.

So I would advise, based upon your questions, don't just mechanically
crank a paired t-test through whatever software you have ... sit down
with someone who knows statistics and explain your entire problem to
him or her, and find out if a paired t-test is the right thing to do,
and how a sample size of 4 affects your comparison of the means. 


-- 
Paige Miller
Eastman Kodak Company
[EMAIL PROTECTED]

"It's nothing until I call it!" -- Bill Klem, NL Umpire
"Those black-eyed peas tasted all right to me" -- Dixie Chicks


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Re: Patenting a statistical innovation

2001-03-08 Thread Paige Miller

Warren Sarle wrote:
 
 In article [EMAIL PROTECTED],
  Paige Miller [EMAIL PROTECTED] writes:
 
  If it so happens that while I am in the employ of a certain company, I
  invent some new algorithm, then my company has a vested interest in
  making sure that the algorithm remains its property and that no one
  else uses it, especially a competitor.
 
 That would be perfectly reasonable. Unfortunately, patent law
 doesn't work that way. You cannot patent an algorithm per se.
 But anybody can patent applications of the algorithm that you
 invented. You could end up having to pay royalties to somebody
 else for using your own algorithm. The law is insane.

It doesn't make sense to me either, but that is exactly what we have
done. We have patented a mathematical procedure as applied to chemical
manufacturing. If someone else wanted to patent the exact same
mathematical procedure as applied to veterinary care, I suppose they
could.

-- 
Paige Miller
Eastman Kodak Company
[EMAIL PROTECTED]

"It's nothing until I call it!" -- Bill Klem, NL Umpire
"Those black-eyed peas tasted all right to me" -- Dixie Chicks


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Re: Guidence requested

2001-03-08 Thread Paige Miller

Rahat Bokhari wrote:
 
 Hi.
Arelationship between two variables X and Y is measured in terms
 of  g = 0.19, using technique "Partial Least Square" in a paper. My
 question is "What does 'g' explain". Is it "standarized mean
 difference".

You'll need to provide more details. I use Partial Least Squares
occasionally, but I have really never seen it used with only 2
variables, one X and one Y. Usually it is used when there are multiple
X and possibly multiple Y. 

In the case where Partial Least Squares is used on one X and one Y,
you ought to get the same answer as Ordinary Least Squares, and I am
not used to seeing any output of either procedure being labelled g.

-- 
Paige Miller
Eastman Kodak Company
[EMAIL PROTECTED]

"It's nothing until I call it!" -- Bill Klem, NL Umpire
"Those black-eyed peas tasted all right to me" -- Dixie Chicks


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Re: Patenting a statistical innovation

2001-03-07 Thread Paige Miller

dennis roberts wrote:
 
 just think about all the software packages ... and what they would HAVE (or
 HAD) to do if these routines were "patented" ...
 
 sure, i see "inventing" some algorithm as being a highly creative act and
 usually, if it is of value, the person(s) developing it will gain fame (ha
 ha) and some pr ... but, not quite in the same genre of developing a
 process for extracting some enzyme from a substance ... using a particular
 piece of equipment specially developed for that purpose
 
 i hope we don't see a trend IN this direction ...

If it so happens that while I am in the employ of a certain company, I
invent some new algorithm, then my company has a vested interest in
making sure that the algorithm remains its property and that no one
else uses it, especially a competitor. Thus, it is advantageous for my
employer to patent such inventions. In this view, mathematical
inventions are no different than mechanical, chemical or other
inventions.

-- 
Paige Miller
Eastman Kodak Company
[EMAIL PROTECTED]

"It's nothing until I call it!" -- Bill Klem, NL Umpire
"Those black-eyed peas tasted all right to me" -- Dixie Chicks


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