Selecting the most reliable Poisson population provided it is better than a control: A nonparametric empirical Bayes approach

DOI10.1016/S0378-3758(01)00221-XzbMath0988.62003OpenAlexW2069801040MaRDI QIDQ1600722

Shanti S. Gupta, Ta Chen Liang

Publication date: 16 June 2002

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0378-3758(01)00221-x

zbMATH Keywords

rate of convergenceasymptotically optimalisotonic regressionbetter than a controlempirical Bayes selection proceduremost reliable

Mathematics Subject Classification ID

Statistical ranking and selection procedures (62F07) Empirical decision procedures; empirical Bayes procedures (62C12) Nonparametric inference (62G99)

Related Items (1)

Selecting the most reliable Poisson population provided it is better than a control: A nonparametric empirical Bayes approach

Cites Work

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• On recursive formulas for isotonic regression useful for statistical inference under order restrictions
• Selecting the most reliable Poisson population provided it is better than a control: A nonparametric empirical Bayes approach
• Selection from Poisson processes
• A Bayes solution for the problem of ranking Poisson parameters
• The Empirical Bayes Approach to Statistical Decision Problems
• A Problem of Ranking and Estimation with Poisson Processes

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