Optimal three-level blocked designs via general minimum lower-order confounding criterion

Key Points

• The study derives optimal three-level designs, reducing confounding effects.
• Blocking techniques achieve lower-order confounding, enhancing experimental accuracy.
• Analysis utilizes lower-order theory, presenting a novel approach for statistical design.
• This method indicates significant improvements in design efficiency, suggesting a robust framework for research.