on the stochastic minimization of sample size by the bechhofer-kulkarni bernoulli sequential selection procedure

DOI10.1080/07474948908836182zbMath0678.62072OpenAlexW1984515234MaRDI QIDQ3834902

Christopher Jennison

Publication date: 1989

Published in: Sequential Analysis (Search for Journal in Brave)

Full work available at URL: https://hdl.handle.net/1813/8561

zbMATH Keywords

adaptive samplingprobability of correct selectionsequential selection procedureBernoulli populationsstochastically smallerexpected total sample sizeBechhofer- Kulkarni procedure

Mathematics Subject Classification ID

Sequential statistical analysis (62L10) Statistical ranking and selection procedures (62F07)

Related Items (2)

Optimal Bayes procedures for selecting the better of two Bernoulli populations ⋮ Sequential Generalized Likelihood Ratios and Adaptive Treatment Allocation for Optimal Sequential Selection

Cites Work

• Optimal properties of the Bechhofer-Kulkarni Bernoulli selection procedure
• A note on inverse sampling procedures for selecting the best binomial population

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