Using the bootstrap to quantify the authority of an empirical ranking

DOI10.1214/09-AOS699zbMath1191.62080arXiv0911.3749OpenAlexW3100988297MaRDI QIDQ1043718

Hugh Miller

Publication date: 9 December 2009

Published in: The Annals of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/0911.3749

zbMATH Keywords

orderingconfidence intervalprediction intervalhigh dimension\(m\)-out-of-\(n\) bootstrapgenomic dataindependent-component bootstrapoverlap intervalsynchronous bootstrap

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric tolerance and confidence regions (62G15) Nonparametric statistical resampling methods (62G09)

Related Items (10)

A novel method for estimating the common signals for consensus across multiple ranked lists ⋮ Resampling methods for the nonparametric and generalized Behrens-Fisher problems ⋮ Modeling the variability of rankings ⋮ Estimating the proportion of true null hypotheses under dependency: a marginal bootstrap approach ⋮ Simultaneous confidence intervals for ranks with application to ranking institutions ⋮ A permutation approach for ranking of multivariate populations ⋮ Ranking-Based Variable Selection for high-dimensional data ⋮ Moderate-Deviation-Based Inference for Random Degeneration in Paired Rank Lists ⋮ A New Approach to Rank Several Multivariate Normal Populations with Application to Life Cycle Assessment ⋮ Using the bootstrap to quantify the authority of an empirical ranking

Cites Work

• Using the bootstrap to quantify the authority of an empirical ranking
• Bootstrap method in ranking and slippage problems
• Bootstrap confidence interval estimation of mean via ranked set sampling linear regression
• Bootstrapping rank statistics.
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Using the bootstrap to quantify the authority of an empirical ranking