Examples of real industrial applications can serve as a major motivator for industries that want to increase their use of statistical methods. Because of the universal nature of statistical applications, these methods can be applied to a wide range of industries, including the chemical, biotechnology, automotive, steel, plastics, textile, and food industries. Many industries already benefit from the use of statistical methods, although the semiconductor industry is considered both a leader in and a model for the wide application and effective use of statistics. Czitrom has written an introduction to each statistical method which, along with a glossary, gives basic definitions of frequently occurring statistical terms and suggestions for further reading. The case studies, which can be used in industry as well as in academia, are an extremely useful classroom supplement and will remain a rich source of used and useful approaches to real industrial problems for years to come.
Statisticians can use the case studies to effectively teach applications of statistics.
Engineers and scientists can use the case studies to help them characterize, improve, and control their own manufacturing processes. The book should appeal to anyone interested in real applications of statistics. Engineers and scientists with a modest background in statistics should be able to understand most of the case studies and apply the methods to their own situations. All overseas delivery is via airmail.