Synopsis
Master a practical method for uncovering how factors work together in experiments.
This work presents a sequential design approach to estimate all two‑factor interactions using enhanced resolution IV designs, reducing the number of runs needed.
Written for engineers and researchers facing large-factor experiments, the text explains how to isolate interaction effects one factor at a time. It covers step‑by‑step procedures, design choices, and strategies to conserve runs while still uncovering key interactions. The approach is grounded in established designs and shows how prior knowledge can further streamline experimentation.
- Learn how to use resolution IV designs to identify interactions free from other effects.
- See a concrete, repeatable process for sequentially estimating interactions across many factors.
- Understand how to adapt designs when some interactions are known to be insignificant.
- Explore examples and simulations that illustrate expected run counts and outcomes.
Ideal for readers of engineering statistics and experimental design who want a practical, scalable method for complex systems.
A Sequential Approach of Estimating Two-Factor Interactions
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