Statistics & Data Science · Experimental Design
A topic within Experimental Design, itself one of 9 topics in that field and part of Statistics & Data Science.
2 works
Veronica Czitrom
Shows with worked examples that changing one factor at a time while holding others fixed misses interactions a factorial design catches for the same or fewer runs, so OFAT is not even the cheap option it is chosen for.
link checked 17 Sept 2026Frank Yates
Works out how to vary several factors at once in a single experiment and still separate their effects, including deliberately confounding higher-order interactions with blocks to keep the design tractable.
link checked 17 Sept 2026