On Empirical Bayes Testing in a Discrete Life Model with Random Censoring

DOI10.1080/03610920801892006zbMath1143.62004OpenAlexW2133734694MaRDI QIDQ3526092

Ta Chen Liang

Publication date: 24 September 2008

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

Full work available at URL: https://doi.org/10.1080/03610920801892006

zbMATH Keywords

rate of convergencerandom censoringasymptotic optimalityregrettwo-action problemmodified Kaplan-Meier estimator

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Testing in survival analysis and censored data (62N03) Empirical decision procedures; empirical Bayes procedures (62C12) Asymptotic properties of parametric tests (62F05)

Related Items (1)

Empirical Bayes testing for uniform distributions with random censoring

Cites Work

• Right censoring in a discrete life model
• On the convergence rates of empirical Bayes rules for two-action problems: Discrete case
• Strong embedding of the estimator of the distribution function under random censorship
• Monotone empirical Bayes tests for a discrete normal distribution
• Convergence Rates for Empirical Bayes Two-Action Problems I. Discrete Case

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