NOTICE: Due to a lapse in annual appropriations, most of this website is not being updated. Learn more.

Form submissions will still be accepted but will not receive responses at this time. Sections of this site for programs using non-appropriated funds (such as NVLAP) or those that are excepted from the shutdown (such as CHIPS and NVD) will continue to be updated.

U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

PUBLICATIONS

Detection of outliers in measurements

Published

Author(s)

Thomas J. Bruno, Paris D. Svoronos

Abstract

The field of outlier detection and treatment is considerable, and a rigorous mathematical discussion is well beyond any treatment that is possible here. Moreover, the practice in the treatment of analytical results is usually simplified, since the number of observations is often not very large. The two most common methods used by analysts to detect outliers in measured data are versions of the Q-test and Chauvanet’s criterion, both of which assume that the data are sampled from a population that is normally distributed.
Citation
CRC Handbook of Chemistry and Physics - 93rd Edition
Publisher Info
CRC, boca Raton, FL
Pub Type
Books

Keywords

measurements, outliers
Chemistry

Citation

Bruno, T. and Svoronos, P. (2012), Detection of outliers in measurements, CRC, boca Raton, FL (Accessed October 14, 2025)

Issues

If you have any questions about this publication or are having problems accessing it, please contact [email protected].

Created June 22, 2012, Updated February 19, 2017
Was this page helpful?