Factorial Experimental Designs. In the three-factor fertilizer experiment for example the model contains parameters describing. When conducting an experiment varying the levels of all factors at the same time instead of one at a time lets you study the interactions between the factors.
When conducting an experiment varying the levels of all factors at the same time instead of one at a time lets you study the interactions between the factors. A factorial design is type of designed experiment that lets you study of the effects that several factors can have on a response. This might happen when one has to change to a new batch of raw materials halfway through the experiment.
Fractional factorial designs are arguably the most widely used designs in experimental investigations and mainly used for the screening portion of experiments.
Defines fractional factorial design in the following way. In such large-scale studies it is difficult and impractical to isolate and test each variable individually. Therefore the factorial design of experiments is also called the crossed factor design of experiments. Factorial experiments allow subtle manipulations of a larger number of interdependent variables.
