Empirical Bayes rules for selecting good populations
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Publication:792031
DOI10.1016/0378-3758(83)90064-2zbMath0536.62010OpenAlexW2023469053MaRDI QIDQ792031
Publication date: 1983
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0378-3758(83)90064-2
Monte Carlo studyempirical Bayesasymptotically optimaltruncation parameterselecting populations better than a control
Bayesian problems; characterization of Bayes procedures (62C10) Statistical ranking and selection procedures (62F07) Empirical decision procedures; empirical Bayes procedures (62C12)
Related Items (7)
Single-sample Bayes and empirical Bayes rules for ranking and estimating multinomial probabilities ⋮ On empirical Bayes estimation in the location family ⋮ On the problem of selecting the best population in life testing models ⋮ Empirical bayes rules for selecting the best exponential population with location parameter ⋮ Subset Selection Procedures: Review and Assessment ⋮ On the convergence rates of a monotone empirical Bayes test for uniform distributions ⋮ On empirical Bayes procedures for selecting good populations in a positive exponential family
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- The Distribution of a Variate Based on Independent Ranges from a Uniform Population
- The Empirical Bayes Approach to Statistical Decision Problems
- Ranking and selection problems of uniform distributions
- On Some Multiple Decision (Selection and Ranking) Rules
- Some Admissible Empirical Bayes Procedures
- On Estimation of a Probability Density Function and Mode
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