Outlier Robust Small-Area Estimation Under Spatial Correlation

DOI10.1111/sjos.12205zbMath1468.62252OpenAlexW137590107MaRDI QIDQ2821481

Nikos Tzavidis, Timo Schmid, Ray Chambers, Ralf T. Münnich

Publication date: 21 September 2016

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

Full work available at URL: https://eprints.soton.ac.uk/384311/1/Schmid%2520et%2520al%2520-%2520Outlier%2520robust%2520SAE%2520under%2520spatial%2520correlation_final.pdf

zbMATH Keywords

bias correctionbusiness surveysspatial correlationprojective and predictive estimators

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Measures of association (correlation, canonical correlation, etc.) (62H20) Sampling theory, sample surveys (62D05)

Related Items

Small area estimation with mixed models: a review ⋮ Robust Small Area Estimation under Spatial Non‐stationarity ⋮ Small area estimation with spatially varying natural exponential families ⋮ Small area estimation of general parameters: Bayesian transformed spatial prediction approach ⋮ The asymptotic distribution of robust maximum likelihood estimator with Huber function for the mixed spatial autoregressive model with outliers ⋮ Estimation within the new integrated system of household surveys in Germany ⋮ Robust estimation approach for spatial error model

Uses Software

• R-Geo

Cites Work

• Unnamed Item
• Spatial robust small area estimation
• Small area estimation: the EBLUP estimator based on spatially correlated random area effects
• Small area estimation under spatial nonstationarity
• Small area estimation via M-quantile geographically weighted regression
• Mixed model prediction and small area estimation. (With comments of P. Hall, D. Morales, C. N. Morris, J. N. K. Rao, and J. L. Eltinge)
• ROBUST ESTIMATION OF SMALL-AREA MEANS AND QUANTILES
• Controlling the bias of robust small-area estimators
• On Parametric Bootstrap Methods for Small Area Prediction
• Applied Spatial Data Analysis with R
• Robust small area estimation
• Robust Estimation of Variance Components
• Outlier Robust Finite Population Estimation
• The Linear Least-Squares Prediction Approach to Two-Stage Sampling
• Bias-calibrated Estimation from Sample Surveys Containing Outliers
• A unified approach to robust estimation in finite population sampling
• M-quantile models for small area estimation
• NOTES ON CONTINUOUS STOCHASTIC PHENOMENA