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Science Forum Index » Space - Consult Forum » Methods to compare two curves...
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 Posted: Sat Jun 07, 2008 10:41 pm |
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Looking for some ideas to compare two curves based on engine Life-cycle
expenses. Basically have the yearly expenses over years and looking to see if
the two are significantly unalike... Thanks for all your ideas.... |
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| Richard Ulrich... |
| Posted: Sun Jun 08, 2008 10:04 pm |
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On Sun, 08 Jun 2008 03:41:57 GMT, west4961 at (no spam) yahoo.com wrote:
Quote: Looking for some ideas to compare two curves based on engine Life-cycle
expenses. Basically have the yearly expenses over years and looking to see if
the two are significantly unalike... Thanks for all your ideas....
"Unalike".
The first two tests could be testing the mean of
expenses by year, and perhaps the variance.
Linear trend seems to me to be a third thing to test.
Of course, I have only statistical conventions to fall
back on. Do *you* have any hypotheses, based on
differences (say) in reputation?
--
Rich Ulrich
http://www.pitt.edu/~wpilib/index.html |
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| Posted: Mon Jun 09, 2008 10:12 pm |
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Guest
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These are not linear... Hypothsis would be great but can this done with two
non-linear curves. Should this work the same?? Testing the means by
year would be good but would like to compare the two engine models, yeat seems
to be a side effect or component..... Thanks....
In article <1mqo441rru6mkvthrm0u8d6buhk84u94fg at (no spam) 4ax.com>,
Rich.Ulrich at (no spam) comcast.net wrote:
Quote: On Sun, 08 Jun 2008 03:41:57 GMT, west4961 at (no spam) yahoo.com wrote:
Looking for some ideas to compare two curves based on engine Life-cycle
expenses. Basically have the yearly expenses over years and looking to see if
the two are significantly unalike... Thanks for all your ideas....
"Unalike".
The first two tests could be testing the mean of
expenses by year, and perhaps the variance.
Linear trend seems to me to be a third thing to test.
Of course, I have only statistical conventions to fall
back on. Do *you* have any hypotheses, based on
differences (say) in reputation?
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