Standard Practice for Application of Generalized Extreme Studentized Deviate (GESD) Technique to Simultaneously Identify Multiple Outliers in a Data Set

Importancia y uso:

3.1 The GESD procedure can be used to simultaneously identify up to a pre-determined number of outliers (r) in a data set, without having to pre-examine the data set and make a priori decisions as to the location and number of potential outliers.

3.2 The GESD procedure is robust to masking. Masking describes the phenomenon where the existence of multiple outliers can prevent an outlier identification procedure from declaring any of the observations in a data set to be outliers.

3.3 The GESD procedure is automation-friendly, and hence can easily be programmed as automated computer algorithms.

Subcomité:

D02.94

Referida por:

D7372-21, D7372-21, D7042-21A, D6617-21, D6300-24, D8098-23, D7042-21A, D7042-21A, D6299-23A, D7372-21, D7042-21A, D6299-23A, D6300-24, D8321-22, D6299-23A, D6300-24, E3264-21, D6122-23, E3264-21

Volúmen:

05.04

Número ICS:

03.120.30 (Application of statistical methods)

Palabras clave:

GESD; outliers;