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

Revision as of 05:26, 20 March 2006

Revision as of 19:51, 12 April 2006

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{{cleanup-date|April 2005}}

The '''one-factor-at-a-time method''' 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. [[Ronald Fisher|Sir Ronald A. Fisher]] showed that the effects of factors can be more efficiently estimated (i.e. with a smaller sample size for the same accuracy) if they are all measured simultaneously. Furthermore, the effects of [[interactions]] between factors can only be explored and estimated when factors are measured simultaneously.