Re: Goodness of fit measures for a distribution


Unknown wrote:
> So basically, based on the recommendations from this newsgroup, it is

> impossible to choose which is the best distribution to fit your data,

> considering all you know about the data is that it comes from a
random
> process, since there are really no objective metrics and all you have
to do
> is rely on graphic plots (which by the way dont tell much since many
models
> will give you similar fits).
>
> Would that be an accurate statement?

No. :)

But close. :-))

It appears to be the recommendations of at least one or more of those
few who followed up on your question. But they can't speak for this
newsgroup, nor intended to.


The cliche "a picture is worth a thousand words" can be aptly extended
to
"a picture is worth a thousand summary statistics" provided the
picture-looker knows what and how to look!


That is more or less the foundation and guiding principle of the
Statistical Graphics Section of the ASA, and those think deeper
in applying statistics than routinely using methods, whether the
non-graphical, analytic methods were invented/discovered by others
or even themselves.

That's my take. YMMV.

-- Bob.

.

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