Density estimation under the koziol‐green model of censoring by penalized likelihood methods

DOI10.2307/3315534zbMath0719.62052OpenAlexW1968599339MaRDI QIDQ5751768

Irène Gijbels, V. K. Klonias

Publication date: 1991

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/3315534

zbMATH Keywords

algorithmSobolev normKaplan-Meier estimatorstrong consistencyHellinger metricLp-normproportional-hazards modeldensity estimators of the survival distributionKoziol-Green random-censoring modelmaximum-penalized-likelihood methods

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Reliability and life testing (62N05)

Related Items (5)

Nonparametric density estimation for censored survival data: Regression‐spline approach ⋮ A quick omnibus test for the proportional hazards model of random censorship ⋮ When copulas and smoothing met: an interview with Irène Gijbels ⋮ The Paradoxical Nature of The Proportional Hazards Model of Random Censorship ⋮ Estimation of the conditional distribution in a conditional Koziol-Green model

Cites Work

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• Nonparametric Estimation from Incomplete Observations
• Nonparametric maximum penalized likelihood estimation of a density from arbitrarily right-censored observations
• Numerical techniques in nonparametric estimation†
• Estimation of mean residual life with censorded data under the proportional hazard model
• Density Estimation and Bump-Hunting by the Penalized Likelihood Method Exemplified by Scattering and Meteorite Data
• Nonparametric Roughness Penalties for Probability Densities

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