Multivariate time between events control charts for Gumbel's bivariate exponential distribution with estimated parameters
P Chen, C He, B Liu, J Zhang - Journal of Statistical Computation …, 2024 - Taylor & Francis
The traditional approach of statistical process control is to estimate the in-control parameters
from reference samples obtained in Phase I and then apply them to Phase II monitoring …
from reference samples obtained in Phase I and then apply them to Phase II monitoring …
Copula-based multivariate control charts for monitoring multiple dependent Weibull processes
P Chen, J Zhang - Communications in Statistics-Simulation and …, 2024 - Taylor & Francis
Monitoring multivariate time between events (MTBE) data is critical in areas such as
manufacturing and service operations. Monitoring of multiple dependent Weibull processes …
manufacturing and service operations. Monitoring of multiple dependent Weibull processes …
One-sided and two one-sided multivariate homogeneously weighted moving charts for monitoring process mean
Multivariate memory-type control charts that use information from both the current and
previous process observations have been proposed. They are designed to detect shifts in …
previous process observations have been proposed. They are designed to detect shifts in …
How to find the variables causing outliers in a multivariate autocorrelated process control: a study in simulation and an extruder machine
Conventional multivariate control charts (MCCs) have difficulties finding the responsible
variable for an outlier in the manufacturing system in which the variables have …
variable for an outlier in the manufacturing system in which the variables have …
A real‐time monitoring approach for bivariate event data
Early detection of changes in the frequency of events is an important task in many fields,
such as disease surveillance, monitoring of high‐quality processes, reliability monitoring …
such as disease surveillance, monitoring of high‐quality processes, reliability monitoring …
Copula-based multivariate EWMA control charts for monitoring the mean vector of bivariate processes using a mixture model
Control charts are the main tools in the statistical process monitoring area to investigate how
the quality of production remains stable or changes over the time. This article develops …
the quality of production remains stable or changes over the time. This article develops …
[PDF][PDF] Remodeling Multivariate Control Chart by Using Spatial Signed Rank for Detecting Mean Shift in Normal and Non-Normal Processes
T Haanchumpol, C Sermpongpan - Thailand Statistician, 2023 - academia.edu
This research aimed to modify the traditional multivariate control charts by using the
multivariate spatial signed rank under the normal distribution, the t distribution, and the …
multivariate spatial signed rank under the normal distribution, the t distribution, and the …