Bookmark and Share

Notice: On March 31, it was announced that Statalist is moving from an email list to a forum. The old list will shut down on April 23, and its replacement, statalist.org is already up and running.


[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

Re: st: Mixed model degrees of freedom and Stata presentation


From   "JVerkuilen (Gmail)" <jvverkuilen@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: Mixed model degrees of freedom and Stata presentation
Date   Sat, 17 Nov 2012 16:57:32 -0500

On Sat, Nov 17, 2012 at 4:05 PM, Jordan Silberman
<silberman.stata@gmail.com> wrote:
>
> 3. The solution to this problem offered in Stata is to assume infinite
> degrees of freedom. It seems to me, from a statistically naive
> perspective, that it is literally mathematically impossible to use a
> less defensible solution. It's not possible to provide a df estimate
> that is further from the true df value than infinite. But I suspect
> that there's more to it than this. Can anyone explain why assuming
> that df = infinite is more defensible than other df estimation
> methods, even though other methods are mathematically guaranteed to
> provide more accurate df estimates?

I don't have much to say about the other questions so I won't blather
on about them, but the notion of assuming infinite DF isn't totally
crazy. Think of using the normal distribution for a humble one sample
t test. The normal is a t with infinite DF. When n > 30 it's not too
far off and when n > 100 you aren't really benefitting from using the
t distribution anymore. Most of the benefit of using DF comes when n
is pretty small. Estimated DF are good on average (i.e., probably in a
mean squared error sense), but under other losses they may not be so
great.

I do agree that it would be quite nice if there were other estimates
available, though, if for no other reason than the potential for a
journal reviewer's panties to get in a bunch about exactly which
method was used.
*
*   For searches and help try:
*   http://www.stata.com/help.cgi?search
*   http://www.stata.com/support/faqs/resources/statalist-faq/
*   http://www.ats.ucla.edu/stat/stata/


© Copyright 1996–2014 StataCorp LP   |   Terms of use   |   Privacy   |   Contact us   |   Site index