The efficiency of run rules schemes for the multivariate coefficient of variation: a Markov chain approach

DOI10.1080/02664763.2019.1643296OpenAlexW2958618178WikidataQ127465492 ScholiaQ127465492MaRDI QIDQ5036993

Xinying Chew, Khai Wah Khaw, W. C. Yeong

Publication date: 25 February 2022

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

Full work available at URL: https://doi.org/10.1080/02664763.2019.1643296

zbMATH Keywords

average run lengthrun rulesmultivariate coefficient of variationMarkov-chainexpected average run length

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Related Items (2)

One-sided precedence monitoring schemes for unknown shift sizes using generalized 2-of-(h+1) and w-of-w improved runs-rules ⋮ A combined mixed-s-skip sampling strategy to reduce the effect of autocorrelation on the X̄ scheme with and without measurement errors

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Run-sum control charts for monitoring the coefficient of variation
• A synthetic control chart for the coefficient of variation
• An ARL-unbiased design of time-between-events control charts with runs rules
• CONTROL CHARTS WITH WARNING LINES
• Exact Results for Shewhart Control Charts with Supplementary Runs Rules
• Introduction to Matrix Analytic Methods in Stochastic Modeling
• Runs rules schemes for monitoring process variability
• Monitoring exponential data using two-sided control charts with runs rules

This page was built for publication: The efficiency of run rules schemes for the multivariate coefficient of variation: a Markov chain approach