ROBUST ESTIMATION OF SMALL-AREA MEANS AND QUANTILES
DOI10.1111/j.1467-842X.2010.00572.xzbMath1337.62065OpenAlexW1569701845MaRDI QIDQ2810419
Nikos Tzavidis, Stefano Marchetti, Ray Chambers
Publication date: 1 June 2016
Published in: Australian & New Zealand Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/j.1467-842x.2010.00572.x
robust regressionsmall-area estimationRao-Kovar-Mantel estimatorM-quantile regressionChambers-Dunstan estimatorAustralian farm datafinite-population distribution functionsmearing estimator
Applications of statistics to economics (62P20) Nonparametric robustness (62G35) Nonparametric estimation (62G05)
Related Items (19)
Uses Software
Cites Work
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- On estimating distribution functions and quantiles from survey data using auxiliary information
- Smearing Estimate: A Nonparametric Retransformation Method
- Robust small area estimation
- Outlier Robust Finite Population Estimation
- Properties of estimators of the finite population distribution function
- Regression Quantiles
- Bias-calibrated Estimation from Sample Surveys Containing Outliers
- Bandwith selection for the smoothing of distribution functions
- Bounded Influence Estimation in the Mixed Linear Model
- Bias Robust Estimation in Finite Populations Using Nonparametric Calibration
- Estimating distribution functions from survey data
- Bootstrapping the Dorfman–Hall–Chambers–Dunstan estimator of a finite population distribution function
- M-quantile models for small area estimation
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