The BLUPs are not "best" when it comes to bootstrapping

Statistics and Probability Letters

Volumn 56, Issue 4, 2002, Pages 425-430

  Morris, Jeffrey S ^a  

^a UNIVERSITY OF TEXAS MD ANDERSON CANCER CENTER   (United States)

Author keywords

Bootstrap; Correlated data; Mixed models; Nested models

Indexed keywords

EID: 0037082549     PISSN: 01677152     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-7152(02)00041-X     Document Type: Article

References (9)

1. Bootstrap methods: Another look at the jackknife
2. The Jackknife, the Bootstrap, and Other Resampling Plans
3. Estimation of genetic parameters
4. The derivation of BLUP, ML, REML estimation methods for generalized linear mixed models
5. Mixed-Effects Models in S and Splus
6. That BLUP is a good thing: The estimation of random effects
7. Comment on that BLUP is a good thing: The estimation of random effects