Formulation Simplified by Anderson, Whitcomb, Bezener
Formulation Simplified deviates significantly from all other statistical texts on design of experiments (DOE) for mixtures by making these powerful methods easy to study and fun to read. The authors provide a rich array of insightful case studies that illustrate the essentials of mixture DOE. Real-world examples are offered as problems at the end of many chapters for those who are serious about trying these new tools on their own. In addition, the statistical software needed for computations can be freely accessed via a web site developed in support of this book.
In the hands of elite formulators, the statistical methods of mixture design and analysis provide the means for rapidly converging on optimal compositions. The powerful multicomponent testing techniques spelled out in the book provide a powerful synergism for chemists put off by pedantic mathematics of the past.
Compounders of alloys, beverages, chemicals, cosmetics, construction materials (such as concrete), food, flavors, pharmaceuticals, paints, plastics, paper, rubber and all other value-added mixtures will benefit greatly from this ground-breaking book by it:
- Making maximally-efficient multicomponent mixture DOE simple and fun.
- Showing, in very clear terms, how to design mixture experiments, model the results, assess their significance and pinpoint the sweet spot where all specifications are achieved.
- Keeping things practical, while using correct statistical methods.
- Including practice experiments and problems as well as glossaries of statistical symbols and terms.
Note: Examples in the book use Design-Expert® software. You may request the 30-day trial here.
- Makes mixture design simple and fun—a refreshing approach that makes it stand out from any other texts on this subject.
- Shows, in very clear terms, how to design and set up mixture experiments and then analyze the results.
- Written for formulators by authors with a wealth of industrial experience. They are uniquely positioned to stay on point for the practical aspects while keeping to the correct on the statistical methods.
- Includes problems, practice experiments, a glossary of statistical symbols, and a glossary of terms
Many chemists—especially those most brilliant in their field—fail to appreciate the power of planned experimentation. They dislike the mathematical aspects of statistical analysis. In addition, these otherwise very capable chemists also dismissed predictive models based only on empirical data. Ironically, in the hands of subject matter experts like these elite chemists, the statistical methods of mixture design and analysis provide the means for rapidly converging on optimal compositions. What differentiates Formulation Simplified from the standard statistical texts on mixture design is that the authors make the topic relatively easy and fun to read. They provide a whole new collection of insightful original studies that illustrate the essentials of mixture design and analysis. Solid industrial examples are offered as problems at the end of many chapters for those who are serious about trying new tools on their own. Statistical software to do the computations can be freely accessed via a web site developed in support of this book.
|Author||Mark J. Anderson, Patrick J. Whitcomb, Martin A. Bezener|