outlier
Sign in to savethumb|Figure 1. Box plot of data from the [[Michelson–Morley experiment displaying four outliers in the middle column, as well as one outlier in the first column.]]
Article
16 sectionsContents
- Occurrence and causes
- Causes
- Definitions and detection
- Peirce's criterion
- Tukey's fences
- In anomaly detection
- Modified Thompson Tau test
- Working with outliers
- Retention
- Exclusion
- Non-normal distributions
- Set-membership uncertainties
- Alternative models
- See also
- References
- External links
thumb|Figure 1. Box plot of data from the [[Michelson–Morley experiment displaying four outliers in the middle column, as well as one outlier in the first column.]]
In statistics, an outlier is a data point that differs significantly from other observations. An outlier may be due to a variability in the measurement, an indication of novel data, or it may be the result of experimental error; the latter are sometimes excluded from the data set. An outlier can be an indication of exciting possibility, but can also cause serious problems in statistical analyses.