Maximum likelihood estimation with partially censored data

DOI10.1214/AOS/1176325763zbMath0831.62027OpenAlexW2036636118MaRDI QIDQ1896243

Aad W. van der Vaart

Publication date: 13 February 1996

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

Full work available at URL: https://doi.org/10.1214/aos/1176325763

zbMATH Keywords

asymptotic normalityasymptotic efficiencymaximum likelihood estimatordeconvolutioncensoringmixture modelsemiparametricempirical distributionsmooth and nonsmooth kernelsDonsker classes

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Asymptotic properties of nonparametric inference (62G20)

Related Items (9)

Semiparametric maximum likelihood for missing covariates in parametric regression ⋮ Large-sample study of the kernel density estimators under multiplicative censoring ⋮ Asymptotic theory for maximum likelihood in nonparametric mixture models ⋮ Conditional kernel density estimation for some incomplete data models ⋮ On maximum likelihood estimation in parametric regression with missing covariates ⋮ Semiparametric mixtures in case-control studies ⋮ Quadratic semiparametric von Mises calculus ⋮ On regression analysis with incomplete covariate data ⋮ An asymptotic theory for the nonparametric maximum likelihood estimator in the Cox gene model

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