Complete ranking procedures with appropriate loss functions

DOI10.1080/03610929008830456zbMath0745.62019OpenAlexW1993145550MaRDI QIDQ3978040

Marc Sobel

Publication date: 25 June 1992

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610929008830456

zbMATH Keywords

sample sizenumerical simulationloss functionsrisk performanceindependent normal populationsleast favorable parametric configurationmaximum value of the riskvariance ranking

Mathematics Subject Classification ID

Statistical decision theory (62C99) Statistical ranking and selection procedures (62F07)

Related Items (1)

Optimal transitive procedures for comparing large numbers of parameters

Cites Work

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• Optimum Sample Size for Choosing the Population Having the Smallest Variance (Large Sample Size Results)
• Complete ranking procedures with quadratic loss

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