Study on Likelihood-Ratio-Based Multivariate EWMA Control Chart Using Lasso

Takumi Saruhashi, Masato Ohkubo, Yasushi Nagata

Study on Likelihood-Ratio-Based Multivariate EWMA Control Chart Using Lasso

Číslo: 1/2021
Periodikum: Quality Innovation Prosperity
DOI: 10.12776/qip.v25i1.1552

Klíčová slova: average run length; likelihood ratio test; L1 penalty function; multivariate control chart; statistical process control

Pro získání musíte mít účet v Citace PRO.

Přečíst po přihlášení

Anotace: Purpose: When applying exponentially weighted moving average (EWMA) multivariate control charts to multivariate statistical process control, in many cases, only some elements of the controlled parameters change. In such situations, control charts applying Lasso are useful. This study proposes a novel multivariate control chart that assumes that only a few elements of the controlled parameters change.Zobrazit více »