On Nonparametric Maximum Likelihood Estimations of Multivariate Distribution Function Based on Interval-Censored Data

DOI10.1080/03610920802155494zbMath1292.62074OpenAlexW2091990716MaRDI QIDQ5495084

Dianliang Deng, Hong-Bin Fang

Publication date: 30 July 2014

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610920802155494

zbMATH Keywords

convergence ratestrong consistencyself-consistency equation

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Estimation in survival analysis and censored data (62N02)

Related Items (4)

Global rates of convergence of the MLE for multivariate interval censoring ⋮ Asymptotics for non-parametric likelihood estimation with doubly censored multivariate failure times ⋮ Regression Analysis of Left-truncated and Case I Interval-censored Data with the Additive Hazards Model ⋮ Nonparametric test for stratum effects in the cox model with interval-censored data

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• Rates of convergence for the maximum likelihood estimator in mixture models
• Asymptotically optimal estimation of smooth functionals for interval censoring, part 2
• Nonparametric estimators of the bivariate survival function under simplified censoring conditions
• Marginal Regression Models for Multivariate Failure Time Data
• Nonparametric estimation of the bivariate CDF for arbitrarily censored data
• Asymptotically optimal estimation of smooth functionals for interval censoring, part 1
• Testing Independence for Bivariate Current Status Data

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