| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10358560 | Journal of Informetrics | 2013 | 8 Pages |
Abstract
Quantile kernel regression is a flexible way to estimate the percentile of a scholar's quality stratified by a measurable characteristic, without imposing inappropriate assumption about functional form or population distribution. Quantile kernel regression is here applied to identifying the one-in-a-hundred economist per age cohort according to the Hirsch index.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Richard S.J. Tol,