In article <82harm$1ae$[EMAIL PROTECTED]>, <[EMAIL PROTECTED]> wrote:
>I turns out that the difference between the constrained and
>unconstrained log likelihoods has a chi-square distribution (dergr. of
>freedom =restrictions) when it is multiplied by two.
>Where the two comes from is something
it worked fine for me...perhaps your computer just coughed
Neil W Rickert wrote:
>
> [EMAIL PROTECTED] (Thomas Lawlor Griffiths) writes:
>
> >For those interested in mathematics and mind...
>
> >I'm running a simple psychology experiment over the internet. It
> >doesn't take much time, and ver
I turns out that the difference between the constrained and
unconstrained log likelihoods has a chi-square distribution (dergr. of
freedom =restrictions) when it is multiplied by two.
Where the two comes from is something I am not getting. (or -2, the
information I have isn't completely consisten
[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
[EMAIL PROTECTED] (Thomas Lawlor Griffiths) writes:
>For those interested in mathematics and mind...
>I'm running a simple psychology experiment over the internet. It
>doesn't take much time, and very little mental effort. It is vaguely
>related to mathematics, and you might be interested in th
For those interested in mathematics and mind...
I'm running a simple psychology experiment over the internet. It
doesn't take much time, and very little mental effort. It is vaguely
related to mathematics, and you might be interested in the outcome.
If you take part in the experiment, you get sh
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
try stata http://www.stata.com
David Cross/Psych Dept/TCU <[EMAIL PROTECTED]> wrote:
: Check out the following websites:
: http://forrest.psych.unc.edu/
: http://www.linuxapps.com/
: Cheers,
: David Cross
: On Thu, 2 Dec 1999, Bob Hayden wrote:
:> Any advice on basic stats. packages for Unix
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.
On Fri, 03 Dec 1999 18:18:21 -0800, [EMAIL PROTECTED] (PBL Powerbase
180) wrote:
>First, I am a molecular biologist and have only taken intro stats
> courses during my undergrad days.
>
> I am trying to find a criterion to use as an objective cutoff to discard
> data from experiments. I use
Michael Cohen ([EMAIL PROTECTED]) wrote:
: : On Wed, 1 Dec 1999, Yonah Russ wrote:
: :
: : > how do you solve a problem like this one?
: : > thanks in advance
: : > ---
: : > X is a chance variable such that X(omega)={1,2,3...,n}
: : > and for every i in {1,2,3...n}, 4P(X=i+2)=5P(X=i+1)-P(X=i
Dear All
Could anyone kindly tell me a major disadvantage of using
non-parametric test compared to parametric test?
Your response will be appreciated.
Regards,
Boonlert W.
14 matches
Mail list logo
