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. <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).