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May 9, 2013 12:00 PM
(1649 views)

9 REPLIES

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May 9, 2013 1:15 PM
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May 9, 2013 4:12 PM
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Hi PaigeMiller

Would you please be so kind and elaborate a little bit more about signal and noise? (just one sentence)

Please accept my apologies but for me these two terms are pretty allegorical to my silly mind.

THANK YOU!

Chris

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May 10, 2013 9:02 AM
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Would you please be so kind and elaborate a little bit more about signal and noise? (justone sentence)Please accept my apologies but for me these two terms are pretty allegorical to my silly mind.

Most statistical modeling attempts to determine if there is a signal (a real relationship) that is larger than the variability of the errors (noise). Each modeling technique that I am aware of gives a measure of this signal-to-noise; for example, in standard regression is would be the overall F-test.

There's no reason you can't have a very large signal and very low noise in 50 data points. It depends on the data.

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May 10, 2013 12:52 PM
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May 9, 2013 1:21 PM
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May 9, 2013 3:50 PM
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First of all thank you very much for your prompt reply. I really appreciate it

PGStats do you mean Classification and Regression Tree analysis? CART?

Alternatively do you think that multivariate adaptive regression splines could work also for small sample size?

Many thanks again!

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May 9, 2013 3:52 PM
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P.S. I know that MARS is not offered in JMP but it is offered from SAS...so scipt might help.

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May 9, 2013 6:29 PM
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May 9, 2013 6:54 PM
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