Balanced bootstrap in sample surveys and its relationship with balanced repeated replication

DOI10.1016/S0378-3758(99)00013-0zbMath0939.62014OpenAlexW2054817015WikidataQ126669340 ScholiaQ126669340MaRDI QIDQ1125548

Boxin Tang

Publication date: 3 July 2000

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0378-3758(99)00013-0

zbMATH Keywords

resamplingbalanced incomplete block designorthogonal arraysurvey datavariance estimation

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05) Nonparametric statistical resampling methods (62G09)

Related Items

Minimization and estimation of the variance of prediction errors for cross-validation designs

Cites Work

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• Resampling Inference With Complex Survey Data
• Bootstrap and other methods to measure errors in survey estimates
• Balanced repeated replications based on orthogonal multi-arrays
• Efficient Bootstrap Simulation
• Pseudo-Replication: Half Samples
• Introduction to variance estimation