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 ...

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 ...

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 ...

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 ...

Concepts of Robust Design and statistical Design Of Experiments (DOE) as applied to the design and manufacturing of new high technology products. Classical and current methodologies of DOE including ...

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 ...

Part of the monthly webinar series from the RSC Process Chemistry and Technology group Over the past decade, the rapid growth of machine learning techniques and the increasing volume of data generated ...