At 12:41 PM 5/22/00 -0500, Herman Rubin wrote: (in response to bob hayden's
note)
>As for outliers, the appropriate meaning for them is that they
>are observations which are incorrect, or for which the assumptions
>of the model are invalid. Those should be removed, as should
>any others of that type.
i think this is either worded incorrectly or ... incorrect ...
outliers might be observations that don't fit the model ... but, that does
not make the observations incorrect ...
you should only remove the observations IF you have some concurrent
information that the values indeed ... ARE incorrect data points ... for
some specific reason(s) ... MIScalculated ... entered wrong ... etc.
just because they don't look nice (according to some model) is not good
enough
>
>--
>This address is for information only. I do not claim that these views
>are those of the Statistics Department or of Purdue University.
>Herman Rubin, Dept. of Statistics, Purdue Univ., West Lafayette IN47907-1399
>[EMAIL PROTECTED] Phone: (765)494-6054 FAX: (765)494-0558
>
>
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