Fewer constraints compared to conventional methods, and higher discrimination accuracy!
The "APRT method" is a technique that combines principal component analysis and the RT method, significantly relaxing the constraints of conventional MT systems while also improving discrimination accuracy.
Each method in the MT system has its own constraints, which need to be differentiated based on the purpose and target.
The "APRT method" has garnered attention as a new technique that can greatly relax various constraints and improve discrimination accuracy, and it is currently being validated across various fields.
【Advantages】
■ Higher discrimination accuracy compared to conventional methods
- In abnormal situations, an MD² value that is about three orders of magnitude larger (gain of 30 dB) can sometimes be obtained.
■ Fewer constraints compared to conventional methods
- The MT method has a constraint of the number of members being greater than the number of items, but the APRT method does not have this constraint due to the use of principal component analysis.
- Compared to the RT method and error pressure method, the gain in the desired characteristic SN ratio is large, providing high discrimination power.
- The MT method has issues with multicollinearity, but the APRT method does not have this problem due to the use of principal component analysis.
- The RT method is fundamentally based on identical unit items, but the APRT method standardizes using correlation matrix principal component analysis, so there are no issues.
*For more details, please download the PDF or feel free to contact us.*
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