Ranked simulated resampling: a more efficient and accurate resampling approximations for bootstrap inference

DOI10.1080/00949655.2021.1946065OpenAlexW3185271723WikidataQ114101195 ScholiaQ114101195MaRDI QIDQ3390335

Ding-Geng Chen, Hani M. Samawi

Publication date: 24 March 2022

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2021.1946065

zbMATH Keywords

bootstrapMonte Carlo methodsranked set samplingranked resamplingranked simulated sampling

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• bootstrap

Cites Work

• Unnamed Item
• Bootstrapping general empirical measures
• Some asymptotic theory for the bootstrap
• Bootstrap methods: another look at the jackknife
• Two-sample importance resampling for the bootstrap
• Multistage ranked set sampling
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• Power estimation for two sample tests using balanced resampling
• Estimating the mean of a normal population utilizing some available information: A bayesian approach
• More efficient monte carlo methods obtained by using ranked set simulated samples
• On the efficiency of monte carlo methods using steady state ranked simulated samples
• A more efficient Gibbs sampler estimation using steady-state simulation: applications to public health studies
• More Efficient Approximation of Multiple Integrals using Steady State Ranked Simulated Sampling
• Steady-state ranked Gibbs sampler
• The bootstrap and Edgeworth expansion

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