Large sample results under biased sampling when covariables are present.

DOI10.1016/S0167-7152(03)00093-2zbMath1116.62358MaRDI QIDQ1423183

Jacobo de Uña-Álvarez

Publication date: 14 February 2004

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

zbMATH Keywords

RegressionLeast squaresWeighted distributionsSelection biasCovariables

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12)

Related Items (4)

An overview of nonparametric contributions to the problem of functional estimation from biased data ⋮ Nonparametric estimation of a conditional distribution from length-biased data ⋮ Efron-Petrosian integrals for doubly truncated data with covariates: an asymptotic analysis ⋮ Nonparametric estimation under length-biased sampling and type I censoring: A moment based approach

Cites Work

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• Empirical distributions in selection bias models
• Large sample theory of empirical distributions in biased sampling models
• Nonparametric estimation in the presence of length bias
• On multivariate kernel estimation for samples from weighted distributions
• Nonparametric regression estimators for length biased data
• Large sample theory of maximum likelihood estimates in semiparametric biased sampling models.
• Kernel density estimation for length biased data
• Maximum likelihood estimation in semiparametric selection bias models with application to AIDS vaccine trials

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