New statistical technique improves accuracy of experimental design in various fields
The article discusses how to improve parameter estimation in fractional factorial design when there is nonconstant variance. The researchers used least squares method initially, then transformed the data with a generalized linear model for better results. Finally, they applied a robust method to handle outliers and compared the model's performance.