Aliasing refers to the phenomenon that occurs when a signal is sampled at a rate that is insufficient to capture its variations accurately. In the context of experimental design, particularly in fractional factorial designs, aliasing can lead to confusion about the effects of different factors, as some effects may be indistinguishable from others due to the limitations in data resolution. This can hinder the ability to draw clear conclusions about the relationships between factors and their impact on the response variable.
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