Study of a Markov model for a high-quality dependent process

DOI10.1080/02664760050003641zbMath0954.62136OpenAlexW2154859284MaRDI QIDQ4493500

Min Xie, Chin-Diew Lai, Kameswararao V. Govindaraju

Publication date: 6 August 2000

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

Full work available at URL: https://doi.org/10.1080/02664760050003641

zbMATH Keywords

serial correlationserial dependenceaverage run lengthARL

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30) Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20)

Related Items (5)

Single Attribute Control Charts for a Markovian-Dependent Process ⋮ On the estimation of serial correlation in Markov-dependent production processes ⋮ Continuous single attribute control chart for Markov-dependent processes ⋮ Estimation of the limiting availability of a repairable series system with stationary dependent sequences ⋮ Modified Synthetic Control Chart for One-Step Markov-Dependent Processes

Cites Work

• Number of successes in Markov trials
• Continuous sampling plans for markov-dependent production processes
• Probability Limits on Outgoing Quality for Continuous Sampling Plans
• Run-Length Distributions of Special-Cause Control Charts for Correlated Processes
• Analysis of Autocorrelations in Dynamic Processes

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