Confounding analysis of s-level designs with multi-block variables

In practical experiments, block variables often arise from multiple sources of heterogeneity. To address the confounding problem, this paper proposes a blocked aliased component-number pattern (B^2-ACNP) to analyze the confounding properties of s-level designs with multi-block variables. We calcul…

View Post on Scour ↗

More from arXiv on Scour.