方法证据记录
Adaptive Fractional Factorial Experiment
An adaptive fractional factorial experiment combines the resource-efficiency of fractional factorial designs with a sequential, data-driven strategy for selecting which factors and interactions to investigate next. Rather than committing all experimental runs upfront, the researcher analyses results from an initial fraction and uses those findings to guide subsequent rounds of experimentation — augmenting, folding, or redirecting the design until the active factors and optimal settings are identified with sufficient precision.
源记录
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Adaptive Fractional Factorial Experiment
分类方法记录 · process-pipeline / experimental-design
- Box, G. E. P., Hunter, J. S., & Hunter, W. G. (2005). Statistics for Experimenters: Design, Innovation, and Discovery (2nd ed.). Wiley-Interscience. · ISBN 978-0471718130
- Wu, C. F. J., & Hamada, M. S. (2000). Experiments: Planning, Analysis, and Parameter Design Optimization. Wiley. · ISBN 978-0471255116
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