Abstract
Several measures of the leverage of an observation in a nonlinear regression model are defined and developed. In contrast to the upper bound on the leverage in a linear model, it is found that in a nonlinear model the leverage of an observation may exceed 1. Such a case is said to exhibit superleverage. Relationships between the leverage measures are explored, and several examples are developed to illustrate the proposed methodology. © 1992 Taylor & Francis Group, LLC.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 985-990 |
| Number of pages | 6 |
| Journal | Journal of the American Statistical Association |
| Volume | 87 |
| Issue number | 420 |
| DOIs | |
| State | Published - 1992 |