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.]]
Research
22,027 papers- Investigating outlier rates of cardiac troponin I and troponin T assays: A systematic review.Heliyon · 2024
- A survey on outlier explanations.The VLDB journal : very large data bases : a publication of the VLDB Endowment · 2022
- Fluctuation-based outlier detection.Scientific reports · 2023
- What Is the Outlier-Consistent Outlier or Inconsistent Outlier?Analytical science advances · 2025
- Evaluations of statistical methods for outlier detection when benchmarking in clinical registries: a systematic review.BMJ open · 2023
via PubMed
~15 min read
Encyclopedic overview
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.
Excerpted from Wikipedia’s “outlier” article, available under the CC BY-SA 4.0 licence.