Del i serien ASA-SIAM Series on Statistics and Applied Probability

Experimental Design for Formulation

Häftad, Engelska, 2005

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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.

Produktinformation

Utgivningsdatum2005-04-30
Mått152 x 229 x 21 mm
Vikt680 g
FormatHäftad
SpråkEngelska
SerieASA-SIAM Series on Statistics and Applied Probability
Antal sidor396
FörlagSociety for Industrial & Applied Mathematics,U.S.
ISBN9780898715804

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List of FiguresList of TablesPrefacePart I: Preliminaries. Chapter 1: IntroductionChapter 2: Mixture SpaceChapter 3: Models for a Mixture SettingPart II: Design. Chapter 4: Designs for Simplex-Shaped RegionsChapter 5: Designs for Non-Simplex-Shaped RegionsChapter 6: Design EvaluationChapter 7: Blocking Mixture ExperimentsAppendix 7A: Mates for Latin Squares of Order 4 and 5Part III: Analysis. Chapter 8: Building Models in a Mixture SettingChapter 9: Model EvaluationChapter 10: Model RevisionChapter 11: EffectsChapter 12: OptimizationPart IV: Special Topics. Chapter 13: Including Process VariablesChapter 14: CollinearityBibliographyIndex.

'I have long awaited Dr. Smith's text and now that it is in print I am pleased to offer my heartiest congratulations on a job well done. I am very impressed by the amount of discussion in the text devoted to the topics of model building and model evaluation and I hope the software companies that support the fitting of mixture models will incorporate the topics discussed in the text in their software.' John A. Cornell, Professor Emeritus of Statistics, University of Florida