We construct locally E-optimal designs for the two parameter Michaelis-Menten model under various assumptions on the error structure. Illustrative examples are given and the performance of these designs are compared with D-optimal designs.
Design Issues for the Michaelis–Menten Model
✍ Scribed by J. LÓPEZ-FIDALGO; WENG KEE WONG
- Book ID
- 102613677
- Publisher
- Elsevier Science
- Year
- 2002
- Tongue
- English
- Weight
- 174 KB
- Volume
- 215
- Category
- Article
- ISSN
- 0022-5193
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✦ Synopsis
We discuss design issues for the Michaelis}Menten model and use geometrical arguments to "nd optimal designs for estimating a subset of the model parameters, or a linear combination of the parameters. We propose multiple-objective optimal designs when the parameters have di!erent levels of interest to the researcher. In addition, we compare six commonly used sequence designs in the biological sciences for estimating parameters and, propose optimal choices for the parameters for geometric designs using closed-form e$ciency formulas.
📜 SIMILAR VOLUMES
The performance of four parameter estimating procedures for the estimation of the adjustable parameters in the Michaelis-Menten model, the maximum initial rate Vmax, and the Michaelis-Menten constant Kin, including Lineweaver & Burk transformation (L-B), Eadie & Hofstee transformation (E-H), Eisenth