On 24 Nov 2002 22:29:08 GMT, [EMAIL PROTECTED] (Radford Neal)
wrote:

> 
> >> But what if the sample standard deviation that you computed to do your
> >> t test is substantially less than what you think sigma is?  Is it really
> >> "conservative" to ignore this, and quote a result that is based on what
> >> you have reason to believe is an optimistic estimate of the accuracy of 
> >> the observations?
> 
> In article <[EMAIL PROTECTED]>,
> Rich Ulrich  <[EMAIL PROTECTED]> wrote:
> 
> >Use the improved estimate and z -- That's what I do informally,
> >and small variance is reason enough to dis-believe some data.
> >I don't know that I have seen anyone publish using z that way.
> 
> I think you may not have understood the scenario I was imagining.  I'm
> supposing that the sample standard deviation is lower than what you
> think sigma is.  Perhaps you might improve your estimate of sigma with
> this extra data, but your estimate wouldn't change to match the sample
> standard deviation, if you had good reason for your original belief.
> Using the sample standard deviation in a z test would be even worse
> than just doing the t test, giving an even more mis-leading p-value.
> 

oops, I should have been more clear.  My "improved estimate"  
was intended to indicate, "the external estimate/ guess".

If I really don't like the observed SD,  I don't think I will be
much happier with the Bayesian use of it -- unless I weight
it far less than (I think) Bayesians are prone to weight it.

-- 
Rich Ulrich, [EMAIL PROTECTED]
http://www.pitt.edu/~wpilib/index.html
.
.
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