5. Process Improvement
5.2. Introduction

5.2.6.

What are some recommended references for experimental design?

References

Well Known General References

1. Box, G.E.P., Hunter, W.G., and Hunter, S.J. Statistics for Experimenters, New York; John Wiley & Sons, Inc. (1978).
2. Montgomery, D.C. Design and Analysis of Experiments, New York; John Wiley & Sons, Inc. (1997). 

Case studies for different industries

Snee, R.D., Hare, L.B., and Trout, J.R. Experiments in Industry. Design, Analysis and Interpretation of Results, Milwaukee, W,I.; American Society for Quality (1985). 

Case studies in Process Improvement, including DOE, in the Semiconductor Industry 

Czitrom, V., and Spagon, P.D. Statistical Case Studies for Industrial process Improvement, Philadelphia, P.A.; ASA-SIAM series on statistics and applied probability (1997).

Software to design and analyze experiments 

There are many good packages to do this, so any recommendation will be the author�s bias: we recommend the package called �JMP� (by the SAS Institute, 100 SAS Campus Drive, Cary, North Carolina 27513-9905). 

JMP is a general statistical analysis package containing most of the commonly used designs as well as a wide range of powerful graphical and analytical tools. It is quite inexpensive, has versions for PC or Mac, and can be conveniently bought through the Internet (one source is the software merchandiser SciTech International at http://www.scitechint.com).