Decision Sciences
4 years ago

New method revolutionizes optimal design selection for important two-factor interactions!

Journal of Modern Applied Statistical Methods
Selection of Non-Regular Fractional Factorial Designs When Some Two-Factor Interactions are Important
Weiming Ke, Rui Yao

Paper Summary

Related papers

Decision Sciences
2 years ago

Reduced factorial design outperforms full and fractional designs in experiments.

Experimental Design
Multiobjective Optimization
Behavioral Interventions
1 view
Decision Sciences
3 years ago

Maximize Information, Minimize Work: Revolutionizing Experimental Design for Efficiency

Experimental Design
Decision Sciences
3 years ago

Revolutionize Experimental Design with Two-Level Fractional Factorial Designs!

Experimental Design
1 view

The article introduces a new method for choosing the best non-regular fractional factorial designs when certain two-factor interactions are important. The method helps in finding optimal designs and provides results for a specific design with 12 runs.