Statistical Outliers: Methods and Applications

Authored by: Steven Walfish

Encyclopedia of Pharmaceutical Science and Technology

Print publication date:  July  2013
Online publication date:  July  2013

Print ISBN: 9781841848198
eBook ISBN: 9781351124874
Adobe ISBN:

10.1081/E-EPT4-v5-14

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Abstract

Statistical outlier identification and remediation is one of the oldest issues with data analysis and reporting. There are many causes of outliers including measurement error, sampling error, incorrect recording, or misspecification of the distributional assumptions. Whenever a root cause of an outlier can be identified, less statistical justification is needed to remediate. When the root cause is not known or cannot be identified easily, statistical methods are employed to identify potential outliers for remediation.

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