Asymptotic theory for the MLE from randomly censored exponential samples

DOI10.1007/BF02883075zbMath0981.62023MaRDI QIDQ5955907

Qi Hua Wang

Publication date: 18 February 2002

Published in: Chinese Science Bulletin (Search for Journal in Brave)

zbMATH Keywords

bootstrap approximationEdgeworth expansionslaw of iterated logarithmasymptotic minimax efficiencymaximum likelihood estimate

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Nonparametric statistical resampling methods (62G09) Reliability and life testing (62N05)

Cites Work

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• Bootstrap methods: another look at the jackknife
• On the Behavior of Certain Maximum Likelihood Estimators From Large, Randomly Censored Samples
• Estimation of Parameters of Truncated or Censored Exponential Distributions
• Simplified Estimates for the Exponential Distribution
• Analysis of data from life-test experiments under an exponential model
• Censored Data and the Bootstrap
• Bayesian Estimation of Parameters of Life Distributions and Reliability from Type II Censored Samples
• Exact Confidence Bounds, Based on One Order Statistic, for the Parameter of an Exponential Population
• Maximum Likelihood Estimation in Truncated Samples

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