Nonparametric bootstrapping for hierarchical data

DOI10.1080/02664760903046102OpenAlexW2084577255MaRDI QIDQ5123632

Shenghan Lai, Hong Lai, Wenjing Tong, Shiquan Ren, Xue-Zhang Hou, Mostafa S. Aminzadeh

Publication date: 29 September 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664760903046102

zbMATH Keywords

random effects modelhierarchical dataunbalanced dataresampling schemesnonparametric bootstrapping

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (5)

Alternative fixed-effects panel model using weighted asymmetric least squares regression ⋮ Growth dynamics and heritability for plant high‐throughput phenotyping studies using hierarchical functional data analysis ⋮ An Efficient Morris Method-Based Framework for Simulation Factor Screening ⋮ Bootstrap ICC estimators in analysis of small clustered binary data ⋮ Hierarchical time-varying mixed-effects models in high-dimensional time series and longitudinal data studies

Uses Software

• MEMSS
• bootstrap
• bootlib
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Cites Work

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• Robust directed tests of normality against heavy-tailed alternatives
• Bootstrap methods: another look at the jackknife
• Mixed-Effects Models in S and S-PLUS
• Bootstrapping Clustered Data
• Sampling Variances of the Estimates of Variance Components in the Unbalanced 3-way Nested Classification
• Recent developments in bootstrap methodology

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