| Title |
Automatic detection of discordant outliers via the Ueda’s method
|
|---|---|
| Published in |
Journal of Statistical Distributions and Applications , September 2015
|
| DOI | 10.1186/s40488-015-0031-y |
| Authors |
Fernando Marmolejo-Ramos, Jorge I. Vélez, Xavier Romão |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 2 | 17% |
| Student > Ph. D. Student | 2 | 17% |
| Student > Master | 2 | 17% |
| Researcher | 1 | 8% |
| Student > Postgraduate | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 4 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 2 | 17% |
| Computer Science | 2 | 17% |
| Social Sciences | 2 | 17% |
| Physics and Astronomy | 1 | 8% |
| Engineering | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 4 | 33% |