Pearson and Deviance Residual-Based Control Charts for the Inverse Gaussian Ridge Regression Process: Simulation and an Application to Air Quality Monitoring

Pearson and Deviance Residual-Based Control Charts for the Inverse Gaussian Ridge Regression Process: Simulation and an Application to Air Quality Monitoring

In manufacturing and service industries, monitoring processes with correlated input variables and inverse Gaussian (IG)-distributed quality characteristics is challenging due to the limitations of maximum likelihood estimator (MLE)-based control charts. When input variables exhibit multicollinearity...

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Bibliographic Details
Main Authors: Muhammad Amin, Samra Rani, Sadiah M. A. Aljeddani
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Axioms
Subjects:
air quality
ARL
control charts
inverse Gaussian regression
Pearson residuals
deviance residuals
Online Access:https://www.mdpi.com/2075-1680/14/6/455
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