posted on 2016-01-22, 00:00authored byL. Hu, M. Yang, J. Stufken
We develop general theory for finding locally optimal designs in a class
of single-covariate models under any differentiable optimality criterion. Yang
and Stufken [Ann. Statist. 40 (2012) 1665–1681] and Dette and Schorning
[Ann. Statist. 41 (2013) 1260–1267] gave complete class results for optimal
designs under such models. Based on their results, saturated optimal designs
exist; however, how to find such designs has not been addressed. We develop
tools to find saturated optimal designs, and also prove their uniqueness under
mild condition
Funding
1Supported in part by NSF Grant DMS-10-07507.
2Supported in part by NSF Grants DMS-13-22797 and DMS-14-07518.
3Supported in part by NSF Grants DMS-10-07507 and DMS-14-06760.
MSC2010 subject classifications. Primary 62K05; secondary 62J02