Large sample theory of estimation in biased sampling regression models. I

DOI10.1214/AOS/1176348121zbMath0742.62036OpenAlexW2005569171MaRDI QIDQ1175384

Peter J. Bickel, Ya'acov Ritov

Publication date: 25 June 1992

Published in: The Annals of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1214/aos/1176348121

zbMATH Keywords

slope parameters\(M\) estimatesbiased sampling regression modelsnonparametric maximum likelihood estimates

Mathematics Subject Classification ID

Density estimation (62G07)

Related Items (4)

Testing Independence Under Biased Sampling ⋮ Large-sample study of the kernel density estimators under multiplicative censoring ⋮ Generalized method of moments (GMM) based inference with stratified samples when the aggregate shares are known ⋮ MOMENT-BASED INFERENCE WITH STRATIFIED DATA

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