Yes, I think we need to be more careful about what is being discussed. If
you are using nonparametric to only imply tests based on ranks like M-W,
that is a very different definition than if you are referring to tests based
on permutation of test statisics under the null hypothesis. While M-W an
Rich Strauss wrote:
> 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 b
Rich Ulrich wrote:
> - In my vocabulary, these days, "nonparametric" starts out with data
> being ranked, or otherwise being placed into categories -- it is the
> infinite parameters involved in that sort of non-reversible re-scoring
> which earns the label, nonparametric. (I am still trying to
Frank E Harrell Jr wrote:
>
> > > Alex Yu wrote:
> > > >
> > > > Disadvantages of non-parametric tests:
> > > >
> > > > Losing precision: Edgington (1995) asserted that when more precise
> > > > measurements are available, it is unwise to degrade the precision by
> > > > transforming the measurem
Robert Dawson wrote:
[a long description of an instransitivity problem with WMW]
This is very interesting!
I'm interested to know what happens in these cases with
Kruskal-Wallis - presumably it will reject.
It does make the point (which I always try to make clear
to people) that unless you ha
Parametric/Nonparametric bootstrap is standard terminology, used in
the books by Efrom/Tibshirani, Davison/Hinkley, Chernick, Shao/Tu,
and so on. It's not new, it's by now 20 years old. The
parametric bootstrap is already in Efron, 1979, it's equally
traditional as the nonparametric
one. Both
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 sa
> > Alex Yu wrote:
> > >
> > > Disadvantages of non-parametric tests:
> > >
> > > Losing precision: Edgington (1995) asserted that when more precise
> > > measurements are available, it is unwise to degrade the precision by
> > > transforming the measurements into ranked data.
Edgington's comment
- I have a comment on an offhand remark of Glen's, at the start of
his interesting posting -
On Tue, 07 Dec 1999 15:58:11 +1100, Glen Barnett
<[EMAIL PROTECTED]> wrote:
> Alex Yu wrote:
> >
> > Disadvantages of non-parametric tests:
> >
> > Losing precision: Edgington (1995) asserted that whe
Glenn Barnett wrote:
>
> But since WMW is completely insensitive to a change in spread without
> a change in location, if either were possible, a rejection would
> imply that there was indeed a location difference of some kind. This
> objection strikes me as strange indeed. Does Johnson not unders
Alex Yu wrote:
>
> Disadvantages of non-parametric tests:
>
> Losing precision: Edgington (1995) asserted that when more precise
> measurements are available, it is unwise to degrade the precision by
> transforming the measurements into ranked data.
So this is an argument against rank-based non
[EMAIL PROTECTED] (Robert Dawson) writes:
> Jerry Dallal wrote:
>
>> Here's one.
>> Lack of readily available software to produce confidence intervals.
>> In some simple situations, confidence intervals for some population
>> quantities are available through the order statistics, but I don't
>> k
At 10:33 AM 12/6/99 -0700, Alex Yu wrote:
>Disadvantages of non-parametric tests:
seems to me that before one lists out "dis" advantages ... or for that
matter "ad" vantages ... one needs to be very clear on what one wants to
know about the target population ...
now, in some cases ... there m
Disadvantages of non-parametric tests:
Losing precision: Edgington (1995) asserted that when more precise
measurements are available, it is unwise to degrade the precision by
transforming the measurements into ranked data.
Low power: Generally speaking, the statistical power of non-parametric
Jerry Dallal wrote:
> Here's one.
> Lack of readily available software to produce confidence intervals.
> In some simple situations, confidence intervals for some population
> quantities are available through the order statistics, but I don't
> know of any readily available software that produces
"boonlert" <[EMAIL PROTECTED]> writes:
> Dear All
> Could anyone kindly tell me a major disadvantage of using
> non-parametric test compared to parametric test?
> Your response will be appreciated.
>
Here's one.
Lack of readily available software to produce confidence intervals.
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