Post-stratified calibration method for estimating quantiles

DOI10.1016/j.csda.2010.07.006zbMath1247.62109OpenAlexW1996924665MaRDI QIDQ452699

Maria del Mar Rueda García, I. R. Sánchez-Borrego, Sergio Martínez Puertas, Antonio Arcos Cebrián, Helena Martínez Puertas

Publication date: 15 September 2012

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2010.07.006

zbMATH Keywords

Bahadur representationcalibrationauxiliary informationfinite distribution functionpost-stratified estimator

Mathematics Subject Classification ID

Related Items (2)

Distribution function estimation with calibration on principal components ⋮ The optimization problem of quantile and poverty measures estimation based on calibration

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Optimum calibration points estimating distribution functions
• Estimation of the distribution function with calibration methods
• Mean estimation with calibration techniques in presence of missing data
• Quantile estimation in two-phase sampling
• On the estimation of the general parameter
• Estimators of the finite population distribution function using nonparametric regression
• A kernel method for estimating finite population distribution functions using auxiliary information
• On estimating distribution functions and quantiles from survey data using auxiliary information
• A new estimator for the finite population distribution function
• An Empirical Study of the Ratio Estimator and Estimators of its Variance
• Calibration Estimators in Survey Sampling
• Calibration of the estimators of variance
• Estimating distribution functions from survey data
• A functional approach to estimating finite population distribution functions
• Generalized calibration approach for estimating variance in survey sampling

This page was built for publication: Post-stratified calibration method for estimating quantiles