Local asymptotic normality and asymptotical minimax efficiency of the MLE under random censorship
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Publication:1585605
DOI10.1007/BF02908770zbMath0954.62024OpenAlexW1574888549MaRDI QIDQ1585605
Publication date: 16 November 2000
Published in: Science in China. Series A (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/bf02908770
local asymptotic normalitymaximum likelihood estimatorrandom censorshipasymptotic minimax efficiency
Cites Work
- On the Behavior of Certain Maximum Likelihood Estimators From Large, Randomly Censored Samples
- Central limit theorems for local martingales
- On the Assumptions Used to Prove Asymptotic Normality of Maximum Likelihood Estimates
- Note on the Consistency of the Maximum Likelihood Estimate
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