Outliers
Bibliographic Data
| ID | 7079452 |
|---|---|
| Authors | Roger E Kirk (Baylor University, corresponding author) |
| Year | 2015 |
| Pages | 1-2 |
| Publication date | 2015-10-26 |
| Open Access | Yes |
| Type | OTHER |
| Venue | The Blackwell Encyclopedia of Sociology (JOURNAL) |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/9781405165518.wbeoso033.pub2 |
| OpenAlex | W4245332097 |
| ISBN | 9781405165518 |
| Language | EN |
| References cited | 2 |
An outlier is an observation that appears to deviate markedly from other observations in a sample. Outliers occur for a variety of reasons. They can represent, for example, measurement errors, data recording errors, or data entry errors, 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, outliers can be the most interesting finding in the data. History records many scientific breakthroughs that have resulted from following up extreme observations
Anomaly detection · Data mining · Econometrics · Extreme value theory · Outlier · Physics · Sample (material · Statistics · Value (mathematics · Advanced Statistical Methods and Models · Anomaly Detection Techniques and Applications · Computer Science · Imbalanced Data Classification Techniques · Mathematics
| Highly cited | No |
|---|