A progressive mean control chart for COM-Poisson distribution

DOI10.1080/03610918.2019.1659361OpenAlexW2970442706MaRDI QIDQ5082858

Vasileios Alevizakos, Christos Koukouvinos

Publication date: 21 June 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2019.1659361

zbMATH Keywords

EWMA control chartConway-Maxwell Poisson distributionaverage run-lengthCUSUM control chartprogressive mean

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items

A new exponentially weighted moving average control chart to monitor count data with applications in healthcare and manufacturing

Uses Software

• BayesDA

Cites Work

• Unnamed Item
• Unnamed Item
• Monitoring Poisson Observations Using Modified Exponentially Weighted Moving Average Control Charts
• Fast Initial Response Features for Poisson GWMA Control Charts
• EWMA control charts for monitoring high-yield processes based on non-transformed observations
• Counted Data CUSUM's
• Poisson DEWMA Control Chart
• A control chart for COM-Poisson distribution using a modified EWMA statistic
• Nonparametric Double EWMA Control Chart for Process Monitoring
• Control chart for monitoring multivariate COM-Poisson attributes
• Progressive Variance Control Charts for Monitoring Process Dispersion
• Number of Replications Required in Control Chart Monte Carlo Simulation Studies
• Poisson GWMA Control Chart
• An approach to the probability distribution of cusum run length
• A Reference-Free Cuscore Chart for Dynamic Mean Change Detection and a Unified Framework for Charting Performance Comparison
• A Useful Distribution for Fitting Discrete Data: Revival of the Conway–Maxwell–Poisson Distribution
• CONTINUOUS INSPECTION SCHEMES
• Conjugate analysis of the Conway-Maxwell-Poisson distribution