Abstract
Click to increase image sizeClick to decrease image sizeKey Words: Experimental designPractical significanceRobust designAnalytic studiesBlocking. Additional informationNotes on contributorsRamón V. LeónRamon Le6n is currently associate professor, Department of Statistics, University of Tennessee, Knoxville (UT). He earned a Ph.D. in statistics from Florida State University. Before coming to UT (from 1981 to 1991), he worked at Bell Laboratories, then part of AT&T and now part of Lucent Technologies. In his last management posi tion at Bell Laboratories, he was responsible for technology planning and deployment (including research, software development, consulting, and training) in robust product and process design (Taguchi methods), statistical process control, and statistical experimental design. Before that, he headed a group with similar responsibilities but in the area of reliability engineering. Before joining Bell Laboratories, he taught in the departments of statistics of Rutgers University and The Florida State University. His articles have appeared in Technometrics, The Annals of Statistics, The Annals of Probability, Mathematics of Operations Research, Statistic Sinica, and The Journal of Mathematical Analysis and Applications.Robert W. MeeRobert Mee is currently professor and head, Department of Statistics, University of Tennessee, Knoxville (UT). He earned a Ph.D. in statistics from Iowa State University, and he served on the faculty of Southern Methodist University and the University of South Alabama before coming to UT in 1989. He also worked for 1 year as a Fulbright Professor with the Universitatea Politechnica Timisoara, Romania. Dr. Mee coordinates the “Basics of Multifactor Experimentation” Institute, a short course for engineers offered by UT's Center for Executive Education. He previously served on the editorial board for the Journal of Quality Technology and Technometrics and is now a member of the Technometrics Management Committee.
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