Efficient robust estimation of parameter in the random censorship model

DOI10.1016/0167-7152(90)90023-ZzbMath0725.62033OpenAlexW2055400258MaRDI QIDQ2277701

Song Yang

Publication date: 1990

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

Full work available at URL: https://doi.org/10.1016/0167-7152(90)90023-z

zbMATH Keywords

asymptotic efficiencyrandom censoringright censoringHellinger neighborhoodsadaptiverobust estimatessemi-parametric modelcontaminationsproduct-limit estimatorslocal asymptotic minimaxitylocal asymptotic risk

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Robustness and adaptive procedures (parametric inference) (62F35)

Related Items (3)

On minimum distance estimation in two-sample scale problem with right censoring ⋮ Minimum distance estimation of the center of symmetry with randomly censored data ⋮ Asymptotically efficient estimation under semi-parametric random censorship models

Cites Work

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• Information and asymptotic efficiency in parametric-nonparametric models
• Minimum distance estimation in a linear regression model
• On the preservation of local asymptotic normality under information loss
• Nonparametric Estimation from Incomplete Observations
• A General Approach to the Optimality of Minimum Distance Estimators
• Efficient robust estimates in parametric models
• A nonidentifiability aspect of the problem of competing risks.
• Convergence of stochastic processes

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