Herman Rubin wrote:
> In article <002701c26c2e$e748f990$55e8b23f@DHJC4K01>,
> Karl L. Wuensch <[EMAIL PROTECTED]> wrote:
>
>> I try to stress to my students the importance of screening their
>>data carefully for out-of range values, outliers, etc. prior to any other
>>analysis. I demonstrate to them how a single seriously out-of-range value
>>can ruin an analysis.
>
>
> However, what you call an outlier can be the most important
> part of the data. One should not just call something an
> outlier because it is not too close to the main body; it
> is necessary to justify rejecting the datum.
*******************
Dear Prof.
Exactly. In fact, it can be gold.
Treatment of outliers must be done very carefully. This I should
mention is also stated in Prof. R. Montgomery in his book Design of
Experiements.
However, that being said, one should make an effort at preprocessing and
removal of obvious outliers.
Paul
.
.
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