On determining the calibration equations to construct model-calibration estimators of the distribution function

DOI10.1007/s13163-010-0058-zzbMath1358.62016OpenAlexW2065395958MaRDI QIDQ365157

Mohammad Hasan, M. Dambrine

Publication date: 4 September 2013

Published in: Revista Matemática Complutense (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13163-010-0058-z

zbMATH Keywords

finite populationdistribution functionmodel-calibration approach

Mathematics Subject Classification ID

Point estimation (62F10) Sampling theory, sample surveys (62D05)

Related Items (4)

Distribution function estimation with calibration on principal components ⋮ Rescaled bootstrap confidence intervals for the population variance in the presence of outliers or spikes in the distribution of a variable of interest ⋮ Determining \(P\) optimum calibration points to construct calibration estimators of the distribution function ⋮ The optimization problem of quantile and poverty measures estimation based on calibration

Uses Software

• UCI-ml

Cites Work

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• Optimum calibration points estimating distribution functions
• Estimation of the distribution function with calibration methods
• On the asymptotic normality of statistics with estimated parameters
• Local polynomial regresssion estimators in survey sampling.
• Model-calibration estimation of the distribution function using nonparametric regression
• On estimating distribution functions and quantiles from survey data using auxiliary information
• Calibration Estimators in Survey Sampling
• Estimating distribution functions from survey data
• A Model-Calibration Approach to Using Complete Auxiliary Information From Survey Data
• Generalized calibration approach for estimating variance in survey sampling

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