Can Chauvenet's criterion be used with non-normal data?

Asked May 14 '14 at 16:08

Active May 14 '14 at 16:34

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Can I use Chauvenet's criterion on set of observations where a normal distribution cannot be assumed?

edited May 14 '14 at 16:34

asked May 14 '14 at 16:08

mle

3

Surely, you are aware that robust statistics and outlier detection has improved a lot in the last *150 years*. Is there any reason you are using this test? – user603 May 14 '14 at 17:08
@user603, thanks soo much! I am reading "An Introduction to Error Analysis: The Study of Uncertainties in Physical Measurements" of John R. Taylor (chapter 6) and I thinked Chauvenet's criterion can be use only on set of observations where a normal distribution can be assumed! – mle May 14 '14 at 17:34
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You might want to ditch Chauvenet altogether. Look perhaps at [this answer](http://stats.stackexchange.com/questions/13086/is-there-a-boxplot-variant-for-poisson-distributed-data/13429#13429) for a way to identify univariate outliers without assuming *symmetry*. – user603 May 14 '14 at 17:54
@user603, ah.. more interesting..!! thanks a lot for hint! ;) – mle May 14 '14 at 18:04

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