Ronald Bloom wrote:
In sci.stat.consult Elliot Cramer [EMAIL PROTECTED] wrote:
In sci.stat.consult Ronald Bloom [EMAIL PROTECTED] wrote:
Herman as usual is absolutely correct; the validity of the Fisher test is
analagous to the validity of regression tests which are derived
conditional
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Don and Dennis,
Thanks for your comments, I have some points and futher questions on the
ussue below.
For both Dennis and Don: I think the option of aggregating the information
is a viable one. Yet, I cannot help but think there is some way to do this
taking into account the fact that there
I have a multiple regression y=a+b1+b2+b3+b4+b5. My Adj. R-sq is .403.
I would like to determine how much explanation of variance each IV provides. I have created individual models (y=a+b1+b2+b3) to obtain "individual" Adj. R-sqs, but am not sure if it's permissible tosimply subtract one from the
Please clarify for me. Do you wish to know how much each individual IV
provides independent of the others? In which case I think that you would
have to do a number of univariate regressions. On the other hand, if you
have a hierachical structure in mind and want to know how much additional
Here is a problem that is quite tricky. Starting at a radius R_o, a hop
is made of length from the current point to the origin (R_o), in a random,
uniform direction, in 2d. This take us to a new point, with distance to
the
origin R_1. The next hop is then of length R_1, in a random uniform
Here is a problem that is quite tricky. Starting at a radius R_o, a hop
is made of length from the current point to the origin (R_o), in a random,
uniform direction, on a 2d plane. This take us to a new point, with
distance to the
origin R_1. The next hop is then of length R_1, in a random
