Not AvailableData generated from the designed experiments is analyzed under the assumptions that the error distribution of observationsis normal and homogeneous and data do not contain any outlier. If any of these assumptions is violated, the conclusion drawnfrom this analysis may be false. In the present paper various M-estimation procedures are applied to designed experiments.Efficiencies of these procedures are measured in terms of average variance. An example is given to illustrate the fact thatapplication of robust method changed the conclusions drawn with analysis of original data. For computation of M-estimation,SAS codes are written in IML and given as AppendixNot Availabl
