Designing selection experiments with bernoulli populations
DOI10.1080/03610918708812603zbMath0622.62024OpenAlexW2030924872MaRDI QIDQ3759701
Publication date: 1987
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610918708812603
sequential selection proceduresprobability of correct selectionindifference zone approachBernoulli populationssingle-stage procedurelargest success probabilitiesfixed size subset selection problemplay-the- winner rulesSobel-Huyett proceduretables of exact minimum sample sizes
Sequential statistical design (62L05) Sequential statistical analysis (62L10) Statistical tables (62Q05) Statistical ranking and selection procedures (62F07)
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Cites Work
- Design of experiments for selection from ordered families of distributions
- Equal probability of correct selection for bernoulli selection procedures
- A procedure for selecting a subset of size m containing the l best of k independent normal populations, with applications to simulation
- Selection using “play-the-winner” sampling for non-negative observations
- On a strengthening of the indifference zone approach to a generalized selection goal
- Some Optimum Properties of Ranking Procedures
- Some Fixed-Sample Ranking and Selection Problems
- A Single-Sample Multiple Decision Procedure for Ranking Means of Normal Populations with known Variances
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