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Updated: Jul 9, 2026

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Published on: June 12, 2016
Optimal experimental design in chromatography.
Anthony C Atkinson1, Randall D Tobias
1Department of Statistics, The London School of Economics, London WC2A 2AE, UK. a.c.atkinson@lse.ac.uk
This study presents optimal experimental designs for chromatography, focusing on efficient response surface estimation. Tables and SAS programs are provided for constructing designs with two to four factors.
Area of Science:
- Chemistry
- Statistics
Background:
- Chromatography experiments often require estimating second-order response surfaces.
- Efficient experimental designs are crucial for accurate surface estimation.
Purpose of the Study:
- To apply optimal experimental design methods for efficient response surface designs in chromatography.
- To provide practical resources for constructing these designs.
Main Methods:
- Utilizing optimal experimental design principles.
- Developing and presenting properties of designs for 2, 3, and 4 factors.
Main Results:
- Tables detailing the properties of response surface designs with varying numbers of factors.
- References to design tables and SAS programs for implementation.
Conclusions:
- Optimal experimental design methods offer efficient approaches for response surface estimation in chromatography.
- The provided resources facilitate the construction and application of these designs.
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