Effect of non-normality on the monitoring of simple linear profiles in two-stage processes: a remedial measure for gamma-distributed responses

DOI10.1080/02664763.2021.1928013OpenAlexW3162030250MaRDI QIDQ5867703

Shervin Asadzadeh, Paria Soleimani

Publication date: 14 September 2022

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2021.1928013

zbMATH Keywords

non-normalitygeneralized likelihood ratio (GLR)generalized linear model (GLM)multivariate exponentially weighted moving average (MEWMA) control chart\(T^2\) control charttwo-stage profile monitoring

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Cites Work

• Unnamed Item
• The Performance of Phase II Simple Linear Profile Approaches when Parameters Are Estimated
• Phase I Analysis of Multiple Linear Regression Profiles
• A Multivariate Exponentially Weighted Moving Average Control Chart
• Multivariate statistical process monitoring and diagnosis with grouped regression‐adjusted variables
• Process monitoring for multiple count data using generalized linear model-based control charts
• Profile Monitoring Using Nonparametric BootstrapT²Control Chart
• Monitoring and change-point estimation for spline-modeled non-linear profiles in phase II
• Economic-statistical design of simple linear profiles with variable sampling interval
• Monitoring two-stage processes with a profile at the second stage
• Phase-I monitoring of general linear profiles in multistage processes
• Process monitoring for mean shifts for multiple stage processes
• On the Monitoring of Autocorrelated Linear Profiles
• Model-based process monitoring using robust generalized linear models

This page was built for publication: Effect of non-normality on the monitoring of simple linear profiles in two-stage processes: a remedial measure for gamma-distributed responses