ABSTRACT
This chapter begins with the simple stuff before getting too mathematical and statistical about mixture design and modeling for optimal formulation. The first definition by Cornell and Greg Piepel provides a practical focus on products and the interest that formulators will naturally develop for certain properties of their mixture. However, the second specification of a mixture from Pat presented more concise conditions that provide a better operational definition. Cornell and other experts are very particular on how one describes the elements of design and analysis for mixture experiments. Mixture experiments date back to ancient times when it was thought that all matter came from four elements: water, earth, fire, and air. Back in the days when computer-aided mixture modeling was limited to cubic, an industrial statistician cornered Mark at a conference and complained that he needed quartic to fit a formulation over the entire experimental region.
