Online documents referencing Bill Hunter's work
This page made more sense when I started it in 1998 than it does now. I will leave this as it is for now. See Google Scholar Citations.
Once on a web page you can use most browsers to search that page for any text (e.g. CTRL-F William G. Hunter).
- Let's Use CQI in Our Statistics Programs by Robert V. Hogg, The American Statistician, February 1999. "Several years ago the late Bill Hunter gave the banquet talk at an early Quality and Productivity Research Conference. As usual, he was entertaining, and he told of a departmental faculty meeting resulting in a lengthy discussion of a number of problems associated with the department at Wisconsin. When he made the suggestion to use statistics to help solve these problems, there was stone silence in the room. To which Bill said (as I remember it), 'You know guys, collect and analyze data and make some data-driven decision.' I often think about Bill's story and recognize how few facts we, as statisticians, know about the effectiveness of our efforts in recruiting students, teaching, conducting research, and running a department...."artWGH2
- Northern Telecom achieves improved quality by combining DOE and SPC, bibBH2.
- Quality in the Community: One City's Experience, by George Box, Laurel W. Joiner, Sue Rohan and F. Jospeh Sensenbrenner, June 1989, CQPI report #36 (also Published in Quality Progress, May 1991).
Highlights the evolution of the Quality movement in Madison, Wisconsin and the role of the Madison Area Quality Improvement Network. artWGH
- Introduction to Statistical Experimental Design - What is it? Why and Where is it Useful? by Johan Trygg & Svante Wold. "In 1925 Fisher started the development of methods of statistical experimental design. These methods have been further refined by Yule, Box, Stu and Bill Hunter, Scheffe, Cox, Taguchi, and others, so that today they comprise a tool box for virtually any optimization problem."
- What is 'minimum aberration'? email list message from Thomas Hill, Ph.D., StatSoft. artBH2, artart.
- Identifying Significant Effects in Fractional Factorial Single- and Multi-response Experiments by Øyvind Langsrud, artBH2
- What is Design of Experiments and Why and Where is it Useful? artBH2
- Design of Experiments: An Overview and Application Example by John S. Kim and James W. Kalb. bib BH2
- Statistical Considerations in High Throughput Screening by Michael W. Lutz, J. Alan Menius, Rebecca Gooding Laskody, Paul L. Domanico, Aaron S. Goetz, David L. Saussy and Tom Rimele. artBH2
|
|