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portada Experimental Design for Formulation
Type
Physical Book
Collection
ASA-SIAM Series on Statistics and Applied Probability
Year
2005
Language
English
Pages
396
Format
Paperback
Dimensions
22.9x15.2 cm
ISBN13
9780898715804

Experimental Design for Formulation

Wendell F. Smith (Author) · SIAM - Society for Industrial and Applied Mathematics · Paperback

Experimental Design for Formulation - Wendell F. Smith

New Book Imported to Taiwan
Delivery: 24 Sep - 02 Oct Shipping: 13 to 14 business days.
NT$ 5,831
NT$ 5,831

Synopsis "Experimental Design for Formulation"

Many products, such as foods, personal-care products, and cleaning agents, are made by mixing ingredients together. This book describes a systematic methodology for formulating such products so that they perform according to one's goals, providing scientists and engineers with a fast track to the implementation of the methodology.

Many products, such as foods, personal-care products, beverages, and cleaning agents, are made by mixing ingredients together. This book describes a systematic methodology for formulating such products so that they perform according to one’s goals, providing scientists and engineers with a fast track to the implementation of the methodology. Experimental Design for Formulation contains examples from a wide variety of fields and includes a discussion of how to design experiments for a mixture setting and how to fit and interpret models in a mixture setting. It also introduces process variables, the combining of mixture and nonmixture variables in a designed experiment, and the concept of collinearity and the possible problems that can result from its presence.

This is a useful manual for the formulator and can also be used by a resident statistician to teach an in-house short course. Statistical proofs are largely absent, and the formulas that are presented are included to explain how the various software packages carry out the analysis. Many examples are given of output from statistical software packages, and the proper interpretation of computer output is emphasized. Other topics presented include a discussion of an effect in a mixture setting, the presentation of elementary optimization methods, and multiple-response optimization wherein one seeks to optimize more than one response.

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