The T-method with the application of sparse modeling

Abstract

The Mahalanobis-Taguchi(MT) system is widely used and is one of the quality engineering methods(Taguchi method). Taguchi’s T-method is suitable for regression issues among MTsystems. In addition, there is an improved version of the T-method called the Ta-method.This study examinedthe effect of variable selection using the Ta method. Specifically, we consider two lasso’s single regression forvariable selection before applying the Ta method and evaluate their performanceusing Monte Carlo simulations.