Bootstrap of means under stratified sampling

In a two-stage cluster sampling procedure, n random popu- lations are drawn independently from independent populations and a sub- sample of observations is taken in each of them. The estimator of the general mean of the observed variables is asymptotically Gaussian and the asymp- totic distributions of several bootstrap versions of the normalized and stu- dentized statistics are studied. A weighted population resampling provides a good approximation and its accuracy depends on the convergence rate of the sample size of the populations. AMS 2000 subject classifications: Primary 62F12, 60F40.

• Publication year

  2007

• Venue

  Electronic Journal of Statistics

• Publication date

  2007-09-20

• Fields of study

  Mathematics

• Identifiers
  DOI 10.1214/07-EJS033arXiv 0709.3246
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Bootstrap Methods: Another Look at the Jackknife

  2008cited by this paper
• Nonparametric estimator of a quantile function for the probability of event with repeated data

  2006cited by this paper
• Bootstrap variance of diversity and differentiation estimators in a subdivided population

  1998cited by this paper
• Measuring and testing genetic differentiation with ordered versus unordered alleles.

  1996cited by this paper
• A resampling procedure for complex survey data

  1992influential reference
• Tests of independence for bivariate censored data based on the empirical joint Hazard function

  1991cited by this paper
• Méthode de von Mises, Hadamard-différentiabilité et boostrap dans un modèle non paramétrique sur un espace métrique

  1989cited by this paper
• Bootstrap Procedures under some Non-I.I.D. Models

  1988cited by this paper
• Resampling Inference with Complex Survey Data

  1988cited by this paper
• On a Partial Correction by the Bootstrap

  1987cited by this paper
• On the Bootstrap and Confidence Intervals

  1986cited by this paper
• EDGEWORTH CORRECTED PIVOTAL STATISTICS AND THE BOOTSTRAP

  1985cited by this paper
• Asymptotic Normality and the Bootstrap in Stratified Sampling

  1984cited by this paper
• Lois limites du Bootstrap de certaines fonctionnelles

  1983cited by this paper
• Inference on Means Using the Bootstrap

  1983influential reference
• Some Asymptotic Theory for the Bootstrap

  1981cited by this paper
• On the Asymptotic Accuracy of Efron's Bootstrap

  1981cited by this paper

• Mapping Excited-State Decay Mechanisms in Acetylacetone by Sub-20 fs Time-Resolved Photoelectron Spectroscopy

  2025cites this paper
• Activity budget and movement patterns of Brown Swiss and Alpine Grey lactating cows during summer grazing in alpine pastures

  2023cites this paper
• RNN-BOF: A Multivariate Global Recurrent Neural Network for Binary Outcome Forecasting of Inpatient Aggression

  2022cites this paper
• Longitudinal Effects of Distress and Its Management During COVID-19 Lockdown in Spain

  2021influential citation
• Human embryonic stem cell classification: random network with autoencoded feature extractor

  2021cites this paper
• Tutorial overview of simple, stratified, and parametric bootstrapping

  2020cites this paper
• Combined Sustained Vowels Improve the Performance of the Haar Wavelet for Pathological Voice Characterization

  2020cites this paper
• Issues using logistic regression with class imbalance, with a case study from credit risk modelling

  2019cites this paper
• Privacy Preserving Stream Analytics: The Marriage of Randomized Response and Approximate Computing

  2017cites this paper
• Half a million excess deaths in the Iraq war: Terms and conditions may apply

  2017cites this paper
• The Marriage of Incremental and Approximate Computing

  2016cites this paper
• IncApprox: A Data Analytics System for Incremental Approximate Computing

  2016cites this paper
• The Seasonality Of Paid Search Effectiveness From A Long Running Field Test

  2016cites this paper
• Joint modeling of survival and longitudinal data measured with error, with application to assessing immune correlates of protection in vaccine efficacy trials

  2015cites this paper
• Estimating the accuracies of journal impact factor through bootstrap

  2014cites this paper
• On Statistical Inference of Stratified Population Mean with Bootstrap

  2012cites this paper
• Prevalence of Antibodies to 2009 Pandemic Influenza A (H1N1) Virus in German Adult Population in Pre- and Post-Pandemic Period

  2011cites this paper
• Classification with a Mixture Model Having an Increasing Number of Components

  2008cites this paper