Bootstrap test procedure for variance components in nonlinear mixed effects models in the presence of nuisance parameters and a singular Fisher information matrix
Author:
Affiliation:
1. Université Paris-Saclay, INRAE, MaIAGE , 78350 Jouy-en-Josas, France
2. Université Lille, CNRS, UMR 8524 - Laboratoire Paul Painlevé , 59000 Lille, France
3. Université Paris-Saclay, INRAE , MaIAGE, 78350 Jouy-en-Josas, France
Abstract
Funder
Stat4Plant
Publisher
Oxford University Press (OUP)
Link
https://academic.oup.com/biomet/advance-article-pdf/doi/10.1093/biomet/asae025/58722494/asae025.pdf
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3. Asymptotic distribution of likelihood ratio test statistics for variance components in nonlinear mixed effects models;Baey;Comp. Statist. Data Anal,2019
4. Diagnosing bootstrap success;Beran;Ann. Inst. Statist. Math,1997
5. On the choice of m in the m out of n bootstrap and confidence bounds for extrema;Bickel;Statist. Sinica,2008
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