Bootstrapping data with multiple levels of variation
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Publication:3626375
DOI10.1002/cjs.5550360403zbMath1166.62026OpenAlexW2142603336MaRDI QIDQ3626375
Zhen Pang, C. A. Field, A. H. Welsh
Publication date: 22 May 2009
Published in: Canadian Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/cjs.5550360403
Nonparametric regression and quantile regression (62G08) Multivariate analysis (62H99) Asymptotic properties of nonparametric inference (62G20) Linear regression; mixed models (62J05) Nonparametric statistical resampling methods (62G09) Monte Carlo methods (65C05)
Related Items (7)
Bootstrapping for highly unbalanced clustered data ⋮ Bootstrapping longitudinal data with multiple levels of variation ⋮ Simultaneous inference for linear mixed model parameters with an application to small area estimation ⋮ Estimation for the single-index models with random effects ⋮ Simultaneous confidence band for single-index random effects models with longitudinal data ⋮ Bootstrap estimation of uncertainty in prediction for generalized linear mixed models ⋮ On the effect of ignoring correlation in the covariates when fitting linear mixed models
Cites Work
- A Novel Bootstrap Procedure for Assessing the Relationship between Class Size and Achievement
- Asymptotic normality of the ANOVA estimates of components of variance in the nonnormal, unbalanced hierarchical mixed model
- ASYMPTOTIC PROPERTIES OF RESTRICTED MAXIMUM LIKELIHOOD (REML) ESTIMATES FOR HIERARCHICAL MIXED LINEAR MODELS
- Impact of bootstrap on the estimating functions
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