Diagonal designs for a multi-component calibration experiment

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• 作者：Andrey Bogomolov^a ; ^b ; ^{ab@globalmodelling.com}
• 关键词：Design of experiment ; Mixture analysis ; Multivariate regression analysis ; Multi-component calibration ; Training set ; Validation set
• 刊名：Analytica Chimica Acta
• 出版年：2017
• 出版时间：25 January 2017
• 年：2017
• 卷：951
• 期：Complete
• 页码：46-57
• 全文大小：895 K
• 卷排序：951

文摘

Requirements of an optimal multi-component calibration experiment are considered. A family of diagonal designs for two-component calibration experiment is proposed. Design generalization to three or more components and its extensions are outlined. Diagonal design scheme contains a built-in validation subset. Diagonal DoE was compared to other multi-level designs using a new simulation-based approach.