Nonparametric maximum penalized likelihood estimation of a density from arbitrarily right-censored observations

DOI10.1080/03610928508828910zbMath0566.62028OpenAlexW2041409024MaRDI QIDQ3681734

André M. Lubecke, W. J. Padgett

Publication date: 1985

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

Full work available at URL: https://doi.org/10.1080/03610928508828910

zbMATH Keywords

reliabilitydensity estimationrandom censorshipexponential splineright-censored observationssurvival estimationexistence and uniqueness of the maximum penalized likelihood estimator

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Linear integral equations (45A05)

Related Items (2)

Density estimation under the koziol‐green model of censoring by penalized likelihood methods ⋮ An em algorithm for density estimation with randomly censored data

Cites Work

• Unnamed Item
• Unnamed Item
• Consistency of two nonparametric maximum penalized likelihood estimators of the probability density function
• Nonparametric maximum likelihood estimation of probability densities by penalty function methods
• Nonparametric density estimation from censored data
• Maximum likelihood estimation of un1modal and decreasing densities based on arbitrarily right-censored data
• Maximum Likelihood Estimation of a Unimodal Density Function

This page was built for publication: Nonparametric maximum penalized likelihood estimation of a density from arbitrarily right-censored observations