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Case deletion diagnostics in multilevel models
- Source :
- Journal of Multivariate Analysis. 99:1860-1877
- Publication Year :
- 2008
- Publisher :
- Elsevier BV, 2008.
-
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.
- Subjects :
- Statistics and Probability
Multilevel models
030506 rehabilitation
Numerical Analysis
Multivariate analysis
Estimation theory
Multilevel model
Cook’s distance
Random parameters
Case deletion
01 natural sciences
010104 statistics & probability
03 medical and health sciences
primary
Calculus
Applied mathematics
Influential observations
0101 mathematics
Statistics, Probability and Uncertainty
secondary
0305 other medical science
Cook's distance
Mathematics
Subjects
Details
- ISSN :
- 0047259X
- Volume :
- 99
- Database :
- OpenAIRE
- Journal :
- Journal of Multivariate Analysis
- Accession number :
- edsair.doi.dedup.....a03bb3221dcf4326c04510fc844826dd