Bootstrap methods for judgment post stratification

DOI10.1007/s00362-020-01197-xzbMath1482.62032OpenAlexW3040906066MaRDI QIDQ2062395

Nasrollah Iranpanah, Ehsan Zamanzade, Mozhgan Alirezaei Dizicheh

Publication date: 27 December 2021

Published in: Statistical Papers (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00362-020-01197-x

zbMATH Keywords

confidence intervalcoverage probabilityresampling methodssimple random samplejudgment post stratified sample

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05) Nonparametric tolerance and confidence regions (62G15) Nonparametric statistical resampling methods (62G09)

Cites Work

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• Constrained estimation using judgment post-stratification
• Variance estimation in ranked set sampling using a concomitant variable
• Theoretical comparison of bootstrap confidence intervals
• Some asymptotic theory for the bootstrap
• Bootstrap methods: another look at the jackknife
• Statistical inference for population quantiles and variance in judgment post-stratified samples
• Estimation of population proportion for judgment post-stratification
• Some nonparametric tests of perfect judgment ranking for judgment post stratification
• Parameter estimation for the Pareto distribution based on ranked set sampling
• Maximum likelihood estimators of the parameters of the log-logistic distribution
• Inference on a distribution function from ranked set samples
• On estimation of \(P(X > Y)\) based on judgement post stratification
• Variance estimation using judgment post-stratification
• An isotonized variance estimator for judgment post stratified data
• Some theoretical results concerning non parametric estimation by using a judgment poststratification sample
• Isotonized CDF Estimation from Judgment Poststratification Data with Empty Strata
• Judgement Post‐Stratification with Imprecise Rankings
• Distribution free two-sample methods for judgment post-stratified data
• A Nonparametric Mean Estimator for Judgment Poststratified Data
• Ranked Set Sampling Theory with Order Statistics Background
• U-Statistics and imperfect ranking in ranked set sampling
• A more efficient mean estimator for judgement post-stratification
• What Teachers Should Know About the Bootstrap: Resampling in the Undergraduate Statistics Curriculum

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