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Lukemire J, Mandal A, Wong WK. d-QPSO: A Quantum-Behaved Particle Swarm Technique for Finding D-Optimal Designs With Discrete and Continuous Factors and a Binary Response. Technometrics 2018. [DOI: 10.1080/00401706.2018.1439405] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- Joshua Lukemire
- Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA
| | | | - Weng Kee Wong
- Department of Biostatistics, University of California at Los Angeles, Los Angeles, CA
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Schorning K, Dette H, Kettelhake K, Möller T. Optimal designs for non-competitive enzyme inhibition kinetic models. STATISTICS-ABINGDON 2018. [DOI: 10.1080/02331888.2018.1511716] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Affiliation(s)
| | - Holger Dette
- Fakultät für Mathematik, Ruhr-Universität Bochum, Bochum, Germany
| | | | - Tilman Möller
- Fakultät für Mathematik, Ruhr-Universität Bochum, Bochum, Germany
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