A new method for estimating finite‐population quantiles using auxiliary information

DOI10.2307/3315655zbMath0773.62006OpenAlexW2019234202MaRDI QIDQ4201516

Tak K. Mak, Anthony Y. C. Kuk

Publication date: 25 August 1993

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/3315655

zbMATH Keywords

algorithmauxiliary informationsuperpopulationmodel misspecificationregression modelsimulation studiesone-step iterationlimiting estimatorestimating finite-population quantilesinverting difference-type estimators

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05)

Related Items (8)

On Bivariate Ranked Set Sampling for Distribution and Quantile Estimation and Quantile Interval Estimation Using Ratio Estimator ⋮ ESTIMATION PROCEDURES FOR CATEGORICAL SURVEY DATA WITH NONIGNORABLE NONRESPONSE ⋮ Estimation of population distribution function involving measurement error in the presence of non response ⋮ Asymptotic properties of sample quantiles from a finite population ⋮ A family of estimators of finite-population distribution functions using auxiliary information ⋮ Estimating quantiles under sampling on two occasions with arbitrary sample designs ⋮ Some Classes of Estimators for Median Estimation in Survey Sampling ⋮ Some Classes of Estimators for the Population Median Using Auxiliary Information

Cites Work

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• Bias Robust Estimation in Finite Populations Using Nonparametric Calibration
• Estimating distribution functions from survey data

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