Bayes A-optimal designs for comparing test treatments with a control

DOI10.1016/0378-3758(95)00146-8zbMath0854.62069OpenAlexW2061798054MaRDI QIDQ1923440

Chao-Ping Ting, Yu-Yun Yang

Publication date: 14 January 1997

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(95)00146-8

zbMATH Keywords

control treatmenttest treatmentsone-way elimination of heterogeneity modelapproximate optimal designsBayes A-optimal block designsBTBDexact design theoryhighly efficient designsoptimal gamma-minimax designsrobust optimal designsrounding-off schemes

Mathematics Subject Classification ID

Optimal statistical designs (62K05) Bayesian inference (62F15) Statistical block designs (62K10)

Cites Work

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• Bayesian optimal experimental design for treatment-control comparisons in the presence of two-way heterogeneity
• Optimal designs for comparing test treatments with a control utilizing prior information
• Optimal block designs for comparing test treatments with a control when \(k>v\)
• Optimal designs for comparing test treatments with controls. With comments and a rejoinder by the authors
• Optimal incomplete block designs for comparing treatments with a control
• Bayes a-opttmal and efficient block designs for comparing test treatments with a standard treatment
• Bayes D-optimal and E-optimal block designs
• Optimal Step-Type Designs for Comparing Test Treatments With a Control
• The Optimum Design of a Two-Factor Experiment Using Prior Information
• Balanced repeated measurements designs

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