A new method for solving the problem of the mean estimation when the underlying regression function is discontinuous

DOI10.1080/00207160701472485zbMath1140.62009OpenAlexW2015277181MaRDI QIDQ3518554

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Publication date: 8 August 2008

Published in: International Journal of Computer Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207160701472485

zbMATH Keywords

discontinuityHorvitz-Thompson estimatorjump pointmodel-assisted approachlocal polynomial kernel regression

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Sampling theory, sample surveys (62D05)

Cites Work

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• Empirical likelihood estimation for finite populations and the effective usage of auxiliary information