Bootstrapping probability-proportional-to-size samples via calibrated empirical population

DOI10.1080/00949655.2013.833204zbMath1457.62044OpenAlexW2003192718MaRDI QIDQ5220742

Giancarlo Manzi, Alessandro Barbiero, Fulvia Mecatti

Publication date: 27 March 2020

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

Full work available at URL: https://doi.org/10.1080/00949655.2013.833204

zbMATH Keywords

auxiliary variablevariance estimationunequal probability samplinglinear estimatorconfidence interval coveragecomplex sample

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05)

Related Items (2)

A Bootstrap Variance Procedure for the Generalised Regression Estimator ⋮ Calibrated bootstrap and saddlepoint approximations of finite population \(L\)-statistics

Cites Work

• Unnamed Item
• Bootstrap algorithms for risk models with auxiliary variable and complex samples
• Asymptotic normality and the bootstrap in stratified sampling
• Evaluation of some approximate variance estimators under the Rao-Sampford unequal probability sampling design
• Model assisted survey sampling
• Bootstrap methods: another look at the jackknife
• A Direct Bootstrap Method for Complex Sampling Designs From a Finite Population
• On estimating distribution functions and quantiles from survey data using auxiliary information
• Resampling Inference With Complex Survey Data
• A Resampling Procedure for Complex Survey Data
• Calibration Estimators in Survey Sampling
• Bootstrap Methods for Finite Populations
• A Model-Calibration Approach to Using Complete Auxiliary Information From Survey Data
• On the Generalized Bootstrap for Sample Surveys with Special Attention to Poisson Sampling
• The bootstrap and Edgeworth expansion

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