Applications of Statistics to Industrial Experimentation

About the Author Cuthbert Daniel, Consultant in Engineering Statistics, earned his B.S. and M.S. degrees in Chemical Engineering at the Massachusetts Institute of Technology, studying further at the University of Berlin in 1928 and at Harvard University, 1930-31. He has taught courses in design of experiments and industrial statistics at Columbia University and at the University of California, Berkeley. In the mid-40's he worked as a Statistician at the Gaseous Diffusion Plant, Manhattan Project, Oak Ridge, Tennessee. Mr. Daniel has served as a consultant in statistics to the Research and Development Departments of several large corporations, including Procter and Gamble, United States Steel, General Foods, Interchemical, Standard Oil (Indiana), and Okonite. Mr. Daniel has been a consultant on design of experiments and analysis of engineering data to the Office of Air Polution, and to the Consumers Union. He was a member of Cancer Clinical Investigations Review Committee of NCI, and of NAS/NRC Committee on National Statistics. He is author (with F. S. Wood) of Fitting Equations to Data: Computer Analysis of Multifactor Data for Scientists And Engineers, published by Wiley-Interscience in 1971.