Hamada-Wu Book
Experiments: Planning, Analysis, and Optimization
 Wu (statistics and industrial and operations engineering, Georgia Tech) and
Hamada (statistical science, Los Alamos National Laboratory) introduce some
recent discoveries in designing and analyzing experiments to improve industrial
products and processes, and their application to system optimization, robustness,
and treatment comparison in a number of fields. They describe robust parameter
design, improving reliability, analyzing non-normal data, experiments with
complex aliasing, multilevel designs, minimum aberrations designs, orthogonal
arrays, and other methods.
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