Alias Structures and Sequential Experimentation for Mixed-Level Designs

Alias structures for two-level fractional designs are commonly used to describe the correlations between different terms. The concept of alias structures can be extended to other types of designs such as fractional mixed-level designs. This paper proposes an algorithm that uses the Pearson's correlation coefficient and the correlation matrix to construct alias structures for these designs, which can help experimenters to more easily visualize which terms are correlated (or confounded) in the mixed-level fraction and constitute the basis for efficient sequential experimentation.

Automated summary

This paper presents an algorithm utilizing Pearson's correlation coefficient and correlation matrix to construct alias structures for fractional mixed-level designs, aiding experimenters in visualizing term correlations and confounds for efficient sequential experimentation.