Outliers
Bibliographic Data
| ID | 7079088 |
|---|---|
| Authors | Roger E Kirk (corresponding author) |
| Year | 2007 |
| Publication date | 2007-02-15 |
| Open Access | Yes |
| Type | OTHER |
| Venue | The Blackwell Encyclopedia of Sociology (JOURNAL) |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/9781405165518.wbeoso033 |
| OpenAlex | W4229644571 |
| ISBN | 9781405165518 |
| Language | EN |
| References cited | 2 |
An outlier is an observation or measurement that is unusually large or small relative to the other values in a data set. Outliers occur for a variety of reasons. They can represent, for example, an error in measurement, data recording, or data entry, or a correct value that just happens to be extreme. Outliers can seriously affect the integrity of data and result in biased or distorted sample statistics, inflated sums of squares, distorted p values and effect sizes, and faulty conclusions. Alternatively, they can be the most interesting finding in the data. History records many scientific breakthroughs that have resulted from following up on extreme observations
Anomaly detection · Data mining · Data set · Econometrics · Extreme value theory · Outlier · Physics · Range (aeronautics · Sample (material · Set (abstract data type · Statistics · Value (mathematics · Anomaly Detection Techniques and Applications · Computer Science · Engineering · Mathematics
| Highly cited | No |
|---|