One-factor-at-a-time method: Difference between revisions

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The '''one-factor-at-a-time method''' (or OFAT) is a method of [[design of experiments|designing experiments]] involving the testing of [[factor]]s, or causes, one at a time instead of all simultaneously. Prominent text books and academic papers currently favor Factorial experimental designs, a method pioneered by [[Ronald Fisher|Sir Ronald A. Fisher]], showedwhere that the effects ofmultiple factors canare bechanged moreat efficiently estimated (i.eonce. withThe areasons smaller sample sizestated for the same accuracy) if they are all measured simultaneously. Furthermore,favoring the effectsuse of [[interactions]]factorial betweendesign factorsover can only be explored and estimated when factorsOFAT are measured simultaneously.three-fold:

1. OFAT requires more runs for the same precision in effect estimation<br />

2. OFAT cannot estimate interactions<br />

3. OFAT can miss optimal settings of factors<br />

Despite these criticisms, some researchers have articulated a role for OFAT and showed that they are more effective than fractional factorials under certain conditions. "<ref name=" Friedman, M., and Savage, L. J. (1947), “Planning Experiments Seeking Maxima,” in Techniques of Statistical Analysis, eds. C. Eisenhart, M. W. Hastay, and W. A. Wallis, New York: McGraw-Hill, pp. 365-372.

"> Friedman, M., and Savage, L. J. (1947), “Planning Experiments Seeking Maxima,” in Techniques of Statistical Analysis, eds. C. Eisenhart, M. W. Hastay, and W. A. Wallis, New York: McGraw-Hill, pp. 365-372.</ref>

== Notes==

{{reflist|3}}

==External Link==