This book covers several bases at once. It is useful as a
textbook for a second course in experimental optimization
techniques for industrial production processes. In addition, it is
a superb reference volume for use by professors and graduate
students in Industrial Engineering and Statistics departments. It
will also be of huge interest to applied statisticians, process
engineers, and quality engineers working in the electronics and
biotech manufacturing industries. In all, it provides an in-depth
presentation of the statistical issues that arise in optimization
problems, including confidence regions on the optimal settings of a
process, stopping rules in experimental optimization, and more.
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