At 12:04 PM 12/8/99 -0500, Rich Ulrich wrote:
-- snip --
>Similarly, bootstrapping is a method of "robust variance estimation"
>but it does not change the metric like a power transformation does, or
>abandon the metric like a rank-order transformation does. If it were
>proper terminology to say randomization is nonparametric, you would
>probably want to say bootstrapping is nonparametric, too. (I think
>some people have done so; but it is not widespread.)
In my fields of interest (ecology and evolutionary biology), it is becoming
increasing common to refer to two "kinds" of bootstrapping: nonparametric
bootstrapping, in which replicate samples are drawn randomly with
replacement from the original sample; and parametric bootstrapping, in
which samples are drawn randomly from a (usually normal) distribution
having the same mean and variance as the original sample. The former is
bootstrapping in the traditional sense, of course, while the latter is a
form of Monte Carlo simulation. Unfortunately, the new terminology seems
to be spreading rapidly.
Rich Strauss
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Dr Richard E Strauss
Biological Sciences
Texas Tech University
Lubbock TX 79409-3131
Email: [EMAIL PROTECTED]
Phone: 806-742-2719
Fax: 806-742-2963
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