Selecting the Best Exponential Population When the Scale Parameters are Bounded

DOI10.1080/02331889508802518zbMath0861.62020OpenAlexW1984822530MaRDI QIDQ2785889

Narinder Kumar, Neeraj Misra

Publication date: 20 May 1997

Published in: Unnamed Author (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331889508802518

zbMATH Keywords

nuisance parametersscale parametersbest populationnatural decision ruleindependent exponential populationsindifference-zone probabilityjust decision rulessimultaneous upper confidence intervalssingle sample selection proceduretranslation invariant decision rules

Mathematics Subject Classification ID

Statistical ranking and selection procedures (62F07)

Related Items (1)

On Two-Stage Selection of the Best Negative Exponential Population with Applications

Cites Work

• Unnamed Item
• Sequential selection procedures. A decision theoretic approach
• On selecting the largest success probability under unequal sample sizes
• Designing experiments for selecting the largest normal mean when the variances are known and unequal: Optimal sample size allocation
• Selecting the normal population with the largest mean when the variances are bounded
• Selecting the better binomial population with unequal sample sizes
• Some Fixed-Sample Ranking and Selection Problems

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