Design Of Experiments
1. The design of experiments is the design of any task that aims to describe and explain the variation of information under conditions that are hypothesized to reflect the variation.
2. Design of experiments (DOE) is a systematic, efficient method that enables scientists and engineers to study the relationship between multiple input variables (aka factors) and key output variables (aka responses). It is a structured approach for collecting data and making discoveries.
Design of experiments (DOE) is useful:
• In driving knowledge of cause and effect between factors.
• To experiment with all factors at the same time.
• To run trials that span the potential experimental region for our factors.
• In enabling us to understand the combined effect of the factors.
To illustrate the importance of DOE, let’s look at what will happen if DOE does NOT exist. Experiments are likely to be carried out via trial and error or one-factor-at-a-time (OFAT) method.
Techopedia. Dictionary https://www.techopedia.com/definition/
Peirce, Charles Sanders (1883). "A Theory of Probable Inference". In C. S. Peirce (Ed.), Studies in logic by members of the Johns Hopkins University (p. 126–181). Little, Brown and Co (1883) p.130
Statistics Knowledge Portal https://www.jmp.com/en_ph/statistics-knowledge-portal/what-is-design-of-experiments.html