Re: Goodness of fit measures for a distribution



Unknown wrote:
Well, it's one I would go for. It's time to trot out the well known G.E.P. Box quote: "All models are wrong, but some are useful". This suggests that "best" is not a good criterion (because it'll never be right anyway, and there are an infinite number of models you could try). I suppose the criterion used in practice is "good enough". And we try to discourage people from putting a number on that as well.

Bob



Yes, and I guess that would explain the fact why there are over 100 distributions out there when one could have "good enough" results with the Normal distribution right?

No, they exist be cause the normal distribution is often not good enough.

Bob

--
Bob O'Hara
Department of Mathematics and Statistics
P.O. Box 68 (Gustaf Hällströmin katu 2b)
FIN-00014 University of Helsinki
Finland

Telephone: +358-9-191 51479
Mobile: +358 50 599 0540
Fax:  +358-9-191 51400
WWW:  http://www.RNI.Helsinki.FI/~boh/
Journal of Negative Results - EEB: www.jnr-eeb.org
.



Relevant Pages

  • Re: Goodness of fit measures for a distribution
    ... It's time to trot out the well known ... > suppose the criterion used in practice is "good enough". ... Normal distribution right? ... Prev by Date: ...
    (sci.stat.math)
  • Re: edit mask on a query prompt
    ... A brief quote from a John Vinson posting. ... sure that the bound field of the combo is the value you want to use as a criterion. ... It's convenient to base a second Form or Report on the resulting query to display the results; if you put a button on frmCriteria to launch that form or report, the user can enter the criterion and view the results in one simple operation! ...
    (microsoft.public.access.queries)
  • Re: Whats it doing?? Not Like
    ... "Is this unknown value not equal to this known value" and the answer ... Access not only to block records satisfying the criterion but also to ... Why is Not Like throwing out records where that field has no entry?? ...
    (microsoft.public.access.queries)

Quantcast