This book shows readers how to design and set up basic mixture experiments, then analyze the data and draw inferences from the results. It encompasses useful techniques and provides worked examples for every method used. It is an abridged version of the author's best-selling, more advanced title on EXPERIMENTS WITH MIXTURES, along with additional exercises, further transitional commentary, new material on generalized linear models and mixture transformations, and new examples where appropriate. Written with the practitioner in mind, computing formulas (rather than mathematical derivations) for key methods are provided with clear and concise explanations. All of the numerical examples are taken from real experiments. Coverage begins with the original mixture problem and ends with an introduction to the analysis of variance. Topics are of interest to the various fields of agriculture such as food science, entomology, and nematology, as well as in the physical sciences (including engineering) and medicine. With brevity as a primary goal, the book is applicable for a one-semester course in design of experiments.
Keywords: Engineering Statistics