activity
20172021
most citedOn Monitoring High-Dimensional Processes with Individual Observations

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

stat.ME2021★ 1 cited

On Monitoring High-Dimensional Processes with Individual Observations

Mohsen Ebadi, Shojaeddin Chenouri, Stefan H. Steiner

Modern data collecting methods and computation tools have made it possible to monitor high-dimensional processes. In this article, Phase II monitoring of high-dimensional processes…

stat.ME2021

Phase I Analysis of High-Dimensional Processes in the Presence of Outliers

Mohsen Ebadi, Shojaeddin Chenouri, Stefan H. Steiner

One of the significant challenges in monitoring the quality of products today is the high dimensionality of quality characteristics. In this paper, we address Phase I analysis of h…

stat.ME2020

Statistical Monitoring of the Covariance Matrix in Multivariate Processes: A Literature Review

Mohsen Ebadi, Shoja'eddin Chenouri, Dennis K. J. Lin +1

Monitoring several correlated quality characteristics of a process is common in modern manufacturing and service industries. Although a lot of attention has been paid to monitoring…

stat.AP2017

Remarks on Bayesian Control Charts

Amir Ahmadi-Javid, Mohsen Ebadi

There is a considerable amount of ongoing research on the use of Bayesian control charts for detecting a shift from a good quality distribution to a bad quality distribution in uni…

stat.AP2017

Economic Design of Memory-Type Control Charts: The Fallacy of the Formula Proposed by Lorenzen and Vance (1986)

Amir Ahmadi-Javid, Mohsen Ebadi

The memory-type control charts, such as EWMA and CUSUM, are powerful tools for detecting small quality changes in univariate and multivariate processes. Many papers on economic des…