Tr(R2) control charts based on kernel density estimation for monitoring multivariate variability process
The multivariate control charts are not only used to monitor the mean vector but also can be used to monitor the covariance matrix. The multivariate variability charts are used to guarantee the consistency of products in the subgroup. Many researchers have been studied the multivariate control chart...
Guardado en:
Autores principales: | Muhammad Mashuri, Haryono Haryono, Diaz Fitra Aksioma, Wibawati Wibawati, Muhammad Ahsan, Hidayatul Khusna |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Taylor & Francis Group
2019
|
Materias: | |
Acceso en línea: | https://doaj.org/article/04653da05c1e4aa3953e5624d4c14dd4 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Robust Multivariate Shewhart Control Chart Based on the Stahel-Donoho Robust Estimator and Mahalanobis Distance for Multivariate Outlier Detection
por: Ishaq Adeyanju Raji, et al.
Publicado: (2021) -
Kernel Adaptive Filters With Feedback Based on Maximum Correntropy
por: Shiyuan Wang, et al.
Publicado: (2018) -
Alternating minimization for data-driven computational elasticity from experimental data: kernel method for learning constitutive manifold
por: Yoshihiro Kanno
Publicado: (2021) -
NITRATE DETERMINATION IN CHILEAN CALICHE SAMPLES BY UV-VISIBLE ABSORBANCE MEASUREMENTS AND MULTIVARIATE CALIBRARON
por: BRAVO,MANUEL, et al.
Publicado: (2009) -
Rolling bearing fault detection based on vibration signal analysis and cumulative sum control chart
por: Mohammed Jawad Saja, et al.
Publicado: (2021)