Enhanced Model for Monitoring and Quality Control Using the Control Chart for Binomial Regression with Application

The aim of this study is to use a new approach called the Shewhart control chart with binomial regression, but under this condition, there was a multicollinearity problem in binomial regression model, and solving this problem by principal component, binomial regression with control chart is a statistical method used in quality control to monitor and improve the quality of products or services. This method involves using binomial regression to model the relationship between an input variable and output variable, and then integrating control charts to detect any changes in the process over time. The study used another control chart with a new approach and use another mythology to treat multicollinearity problems, also we used missing values and draw control charts.

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Publication Details

Journal
Asian Journal of Probability and Statistics
Published
2024-10-19
DOI
https://doi.org/10.9734/ajpas/2024/v26i11667
Primary Topic
Advanced Statistical Process Monitoring
Type
article
Field-Weighted Citation Impact
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article

Enhanced Model for Monitoring and Quality Control Using the Control Chart for Binomial Regression with Application

Mohamed S. Hamed, Shaimaa Y. Mohammed, Salah M. Mohamed, Amal Mohamed Abdel Fattah
Asian Journal of Probability and Statistics
Advanced Statistical Process Monitoring
article

Enhanced Model for Monitoring and Quality Control Using the Control Chart for Binomial Regression with Application

Mohamed S. Hamed, Shaimaa Y. Mohammed, Salah M. Mohamed, Amal Mohamed Abdel Fattah
article en

Abstract

The aim of this study is to use a new approach called the Shewhart control chart with binomial regression, but under this condition, there was a multicollinearity problem in binomial regression model, and solving this problem by principal component, binomial regression with control chart is a statistical method used in quality control to monitor and improve the quality of products or services. This method involves using binomial regression to model the relationship between an input variable and output variable, and then integrating control charts to detect any changes in the process over time. The study used another control chart with a new approach and use another mythology to treat multicollinearity problems, also we used missing values and draw control charts.

Asian Journal of Probability and StatisticsVol. 26(11)
Cairo University (EG), Benha University (EG), Badr University in Cairo (EG)
Openalex Percentile: Top 82%
Advanced Statistical Process Monitoring
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Enhanced Model for Monitoring and Quality Control Using the Control Chart for Binomial Regression with Application — Mohamed S. Hamed, Shaimaa Y. Mohammed, et al. · Asian Journal of Probability and Statistics (2024) | TGRS Research Map | TGRS