Abstract
A method for multidimensional scaling that is highly resistant to the effects of outliers is described. To illustrate the efficacy of the procedure, some Monte Carlo simulation results are presented. The method is shown to perform well when outliers are present, even in relatively large numbers, and also to perform comparably to other approaches when no outliers are present.
| Original language | English |
|---|---|
| Pages (from-to) | 501-513 |
| Number of pages | 13 |
| Journal | Psychometrika |
| Volume | 54 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - Sept 1989 |
| Externally published | Yes |