A recursive version of Grubbs' test for detecting multiple outliers in environmental and chemical data.
OBJECTIVE
To compare the performance of Grubbs' outlier detection procedure with recursive Extreme Studentized Deviate (ESD) outlier detection procedure.


METHODS
Using simulated data, the powers of Grubbs' and ESD procedures were evaluated.


RESULTS
Except when the sample contained exactly one outlier, the power of ESD procedure was higher than that of Grubbs' procedure.


CONCLUSIONS
The ESD recursive procedure is the procedure of choice to detect multiple outliers in environmental and chemical data.
Jain
Ram B
RB
Centers for Disease Control and Prevention, 4770 Buford Highway, Chamblee, GA 30341, USA. rij0@cdc.gov
D000465:Algorithms; D019411:Clinical Laboratory Techniques / Q000592:standards*; D015233:Models, Statistical