Experimentation is a vital part of the scientific method. Most problems in science require observation of the system at work and experimentation to elucidate information about how the system works. In ...
Since 1965 almost all of the contributions to the design and analysis of factorial experiments have involved fractional factorial plans. These contributions may be categorized by three main classes of ...
Full factorial DOE, or Design of Experiments, is a method of designed experimentation. Using this method you manipulate the controllable factors (independent variables or inputs) in your process at ...
How can the fractional factorial design of experiments benefit you? A global beverage company faced a persistent issue in its production line: excessive foaming while bottling 1-liter apple juice ...
The Canadian Journal of Statistics / La Revue Canadienne de Statistique, Vol. 31, No. 3 (Sep., 2003), pp. 311-327 (17 pages) The author investigates the analysis of unreplicated factorial experiments ...
How can you determine if a new process performs better than the original? How can you be confident that a new drug or vaccine will be safe and effective? How can you best determine which market(s) to ...
Data collection is sometimes performed without considering the effect poorly collected data has in the strength of statistical conclusions. When researchers properly design an experiment, they are ...
Anyone who has washed dishes can tell you that a lot of stuff clings to dirty plates, glasses, and silverware after a meal. And anyone who has developed an automatic dishwasher detergent to clean the ...
What is a foldover design? A design created by adding an identical but complementary fraction to an original fraction of a factorial design in statistical experiments. The new design has twice the ...
Design of Experiments (DOE) is a methodology misunderstood by many, understood by some, and actively used by even fewer than that. Wherever it does get used, though, it has the ability to completely ...
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