Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1146993 | Journal of Multivariate Analysis | 2008 | 18 Pages |
Abstract
This paper studies case deletion diagnostics for multilevel models. Using subset deletion, diagnostic measures for identifying influential units at any level are developed for both fixed and random parameters. Two approximate update formulae are derived. The first formula uses one-step approximation, while the second formula also includes the impact of estimating the random parameter. Two examples are used to illustrate the methodology developed.
Related Topics
Physical Sciences and Engineering
Mathematics
Numerical Analysis
Authors
Lei Shi, Gemai Chen,