Abstract
Neyman and Scott [3] have considered the ideas of outlier-proneness and outlier-resistance of families of distributions. Under their definition, individual distributions (one-member families) cannot be outlier-prone. This paper offers definitions of outlier-proneness and outlier-resistance that apply to individual distributions, and theorems are given showing the connection with the classical laws of large numbers for maxima.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 502-505 |
| Number of pages | 4 |
| Journal | Journal of the American Statistical Association |
| Volume | 71 |
| Issue number | 354 |
| DOIs | |
| State | Published - Jun 1976 |