Change point determination for a multivariate process using a two-stage hybrid scheme

► Two integrated hybrid procedures are proposed to identify the change point for process variance matrix shift in a multivariate process. ► The proposed schemes integrate the framework of logistic regression, the MARS, the SVM classifier and the change point identification strategy. ► Numerical results reveal that the proposed hybrid schemes are more efficient in detecting the change point than the existing single stage methods.