Bivariate robust control charts for individual observations

This article introduces a novel robust Shewhart-type control chart designed for monitoring the location of a bivariate process using the Comedian and Sn Covariance estimators. The process of setting control limits for the proposed control charts is demonstrated. To evaluate the performance of the newly proposed control charts, simulations are conducted and compared against existing methods found in the current literature. Furthermore, the article discusses the application of the proposed method using real-life data.

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Publication Details

Journal
Communications in Statistics - Simulation and Computation
Published
2024-08-22
DOI
https://doi.org/10.1080/03610918.2024.2391866
Citations
1
Primary Topic
Advanced Statistical Process Monitoring
Type
article
Field-Weighted Citation Impact
0.46
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article

Bivariate robust control charts for individual observations

T. A. Sajesh, S. Vijayalakshmi, Nicy Sebastian
1 citations
Communications in Statistics - Simulation and Computation
Advanced Statistical Process Monitoring
0.46
article

Bivariate robust control charts for individual observations

T. A. Sajesh, S. Vijayalakshmi, Nicy Sebastian
article en
1 citations

Abstract

This article introduces a novel robust Shewhart-type control chart designed for monitoring the location of a bivariate process using the Comedian and Sn Covariance estimators. The process of setting control limits for the proposed control charts is demonstrated. To evaluate the performance of the newly proposed control charts, simulations are conducted and compared against existing methods found in the current literature. Furthermore, the article discusses the application of the proposed method using real-life data.

Communications in Statistics - Simulation and ComputationVol. 54(11)
University of Calicut (IN), Government Medical College (IN), Thomas College (US)
Responsible consumption and production
Openalex Percentile: Top 29%
Advanced Statistical Process Monitoring
0.46
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