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Other statistical methods such as receiver operating characteristics (ROC) and Kappa statistics are commonly used.
Whether VAR truly represents a big improvement over other statistical methods, such as the construction of large-scale Keynesian models or the calibration of smaller real-business-cycle models, is still up for debate.
The adaptive scheme was more efficient than all other statistical methods for both parameters.
The obtained results from this method are compared with the other statistical methods.
Taguchi's method provides consistency and reproducibility that is generally not found in other statistical methods (Roy 2010).
Fortunately, there are other statistical methods that can be used, such as feature analysis, as shown here.
A careful use of design of experiments and other statistical methods allow to clean data from systematic effects and outliers.
Other statistical methods including sampling, hashing or counting are all approximate methods and compute an incomplete set of results.
Our work is related to the latter, specifically to methods that make use of design of experiments and other statistical methods.
An overview of the Taguchi method is provided as well as drawbacks and limitations of the method compared to other statistical methods such as DOE and RSM.
Though, as stated above, we are not aware of another statistical test that allows us to directly answer our research questions, other statistical methods may provide different results.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com