Optimum mechanism for breaking the confounding effects of mixed-level designs

Faculty Science Year: 2017
Type of Publication: ZU Hosted Pages: 781–802
Authors:
Journal: Computational Statistics Springer Volume: 32
Keywords : Optimum mechanism , breaking , confounding effects , mixed-level    
Abstract:
Fractional factorial designs (FFD’s) are no doubt the most widely used designs in the experimental investigations due to their efficient use of experimental runs to study many factors simultaneously. One consequence of using FFD’s is the
   
     
 
       

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