Full Factorial Experiments Explained
The full factorial is perhaps the most widely used statistically designed experiment, and allows teasing out complex interactions between different factors. However, it has its drawbacks, and we explore these as well.
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This is part of my playlist on Design of Experimens, the methodology for rigorous statistical design of experiments, with applications ranging from chemical process optimization to biology to crop yields and optimization of neural networks.