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Statistics
A Journal of Theoretical and Applied Statistics
Volume 48, 2014 - Issue 6
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Original Articles

Optimal designs for the Michaelis–Menten model with correlated observations

Holger DetteRuhr-Universität Bochum, Fakultät für Mathematik, 44780Bochum, GermanyCorrespondence[email protected]
&
Joachim KunertTU Dortmund, Fakultät Statistik, 44221Dortmund, Germany
Pages 1254-1267 | Received 06 Jun 2012, Accepted 21 Aug 2013, Published online: 18 Oct 2013

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Joshua Lukemire, Abhyuday Mandal & Weng Kee Wong. (2019) d-QPSO: A Quantum-Behaved Particle Swarm Technique for Finding D-Optimal Designs With Discrete and Continuous Factors and a Binary Response. Technometrics 61:1, pages 77-87.
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Kirsten Schorning, Holger Dette, Katrin Kettelhake & Tilman Möller. (2018) Optimal designs for non-competitive enzyme inhibition kinetic models. Statistics 52:6, pages 1359-1378.
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Articles from other publishers (3)

Ping-Yang Chen, Ray-Bing Chen & Weng Kee Wong. (2023) Particle Swarm Optimization for Finding Efficient Longitudinal Exact Designs for Nonlinear Models. The New England Journal of Statistics in Data Science, pages 299-313.
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Carlos de la Calle Arroyo, Jesús López-Fidalgo & Licesio J. Rodríguez-Aragón. 2023. Trends in Mathematical, Information and Data Sciences. Trends in Mathematical, Information and Data Sciences 319 328 .
Irene Mariñas-Collado, M. Jesús Rivas-López, Juan M. Rodríguez-Díaz & M. Teresa Santos-Martín. (2019) Optimal designs in enzymatic reactions with high-substrate inhibition. Chemometrics and Intelligent Laboratory Systems 189, pages 102-109.
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