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- W4313309527 abstract "This chapter provides an overview of the mathematical principles and statistical techniques commonly used to accelerate the process of product design and formulation. The chapter starts by providing a summary of factorial and fractional factorial design. The one-factor-at-a-time approach to optimize product design is first described and then the concepts of factorial and fractional factorial designs to study joint effects of factors on a response variable are introduced. Nonlinearity in the factor effects is dealt with by adding interaction terms to the main effects or to first-order models. Next, response surface and composite designs are dealt. The chapter also introduces the concept of D-optimal designs and Bayesian design. The chapter also includes a coverage of different empirical modeling techniques including regression modeling and machine learning (i.e. artificial neural networks ). Mixture design of experiments and its relevance to product design and formulation are discussed next. The chapter ends with an introduction to multiway principal component analysis, model-based principal component analysis, and partial least squares." @default.
- W4313309527 created "2023-01-06" @default.
- W4313309527 date "2022-12-30" @default.
- W4313309527 modified "2023-09-26" @default.
- W4313309527 title "Mathematical Principles for Chemical Product Design" @default.
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- W4313309527 doi "https://doi.org/10.1002/9783527689620.ch3" @default.
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