title: A recursive version of Grubbs' test for detecting multiple outliers in environmental and chemical data.
abstract: 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.
authors.affiliation: Centers for Disease Control and Prevention, 4770 Buford Highway, Chamblee, GA 30341, USA. rij0@cdc.gov
authors.forename: Ram B
authors.initials: RB
authors.lastname: Jain
mesh_terms: D000465:Algorithms; D019411:Clinical Laboratory Techniques / Q000592:standards*; D015233:Models, Statistical