Monitoring Poisson Observations Using Modified Exponentially Weighted Moving Average Control Charts

DOI10.1080/03610919008812847zbMath0707.62203OpenAlexW1989083215WikidataQ126236480 ScholiaQ126236480MaRDI QIDQ3489248

Fah-Fatt Gan

Publication date: 1990

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

Full work available at URL: https://doi.org/10.1080/03610919008812847

zbMATH Keywords

Markov chainstatistical process controlaverage run lengthc-chart

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30)

Related Items

Bivariate copula-based CUSUM charts for monitoring conditional nonlinear processes with first-order autocorrelation, A progressive mean control chart for COM-Poisson distribution, Exponentially weighted moving average control charts with reflecting boundaries, An economic statistical design of the Poisson EWMA control charts for monitoring nonconformities, Double-sampling control charts for attributes, Detecting mean increases in Poisson INAR(1) processes with EWMA control charts, A control chart for multivariate Poisson distribution using repetitive sampling, An ARL-unbiased thinning-based EWMA chart to monitor counts, A double progressive mean control chart for monitoring Poisson observations, Likelihood-Based EWMA Charts for Monitoring Poisson Count Data With Time-Varying Sample Sizes, Poisson GWMA Control Chart, SPC methods for time-dependent processes of counts—A literature review, One-sided EWMA control charts for monitoring Poisson processes with varying sample sizes, A homogeneously weighted moving average control chart for Conway–Maxwell Poisson distribution

Cites Work

• Counted Data CUSUM's
• A Simple Method for Studying Run-Length Distributions of Exponentially Weighted Moving Average Charts
• Average Run Lengths of Geometric Moving Average Charts by Numerical Methods
• An approach to the probability distribution of cusum run length
• Unnamed Item
• Unnamed Item