Optimal Designs for Comparing Test Treatments with a Control Utilizing Prior Information
Majumdar, Dibyen
Ann. Statist., Tome 20 (1992) no. 1, p. 216-237 / Harvested from Project Euclid
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Bayes $A$-optimal designs for the one-way and the two-way elimination of heterogeneity models and optimal $\Gamma$-minimax designs for the one-way elimination of heterogeneity model for experiments to compare test treatments with a control are given. Properties such as robustness, of these designs are studied. Optimality results are derived in the exact theory setup.
Publié le : 1992-03-14
Classification:  Optimal Bayes designs,  optimal $\Gamma$-minimax designs,  $A$-optimal designs,  BTIB designs,  block designs,  row-column designs,  prior information,  robust designs,  approximately optimal designs,  62K05,  62K10 
@article{1176348519,
     author = {Majumdar, Dibyen},
     title = {Optimal Designs for Comparing Test Treatments with a Control Utilizing Prior Information},
     journal = {Ann. Statist.},
     volume = {20},
     number = {1},
     year = {1992},
     pages = { 216-237},
     language = {en},
     url = {http://dml.mathdoc.fr/item/1176348519}
}

Majumdar, Dibyen. Optimal Designs for Comparing Test Treatments with a Control Utilizing Prior Information. Ann. Statist., Tome 20 (1992) no. 1, pp.  216-237. http://gdmltest.u-ga.fr/item/1176348519/