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

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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 (that the primary goal is to attain improvements in the system and that the experimental error is not too large compared to the factor effects). <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><ref name= Cuthbert Daniel"> Daniel , C. (1973) ,“One-at-a-Time Plans,” Journal of the American Statistical Association 68, 353-360</ref> (that the primary goal is to attain improvements in the system and that the experimental error is not too large compared to the factor effects).