A unified approach for modeling and designing attribute sampling plans for monitoring dependent production processes

DOI10.1007/s11009-005-4519-7zbMath1080.62105OpenAlexW1964008123MaRDI QIDQ2583515

Yanyan Li

Publication date: 17 January 2006

Published in: Methodology and Computing in Applied Probability (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11009-005-4519-7

zbMATH Keywords

algorithmsrecurrence relationsprobabilistic modelsprocess monitoringproduction processaverage sample numberacceptance probabilitiesdesigning sampling plans

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30) Exact distribution theory in statistics (62E15)

Related Items (4)

On the negative binomial distribution and its generalizations ⋮ Limit theorems for a higher order time dependent Markov chain model ⋮ The limit theorems for a previous \(k\)-sum dependent model ⋮ A unified approach for modeling and designing attribute sampling plans for monitoring dependent production processes

Cites Work

• Number of successes in Markov trials
• Estimation and design of sampling plans for monitoring dependent production processes
• A unified approach for modeling and designing attribute sampling plans for monitoring dependent production processes
• On the nature of the binomial distribution
• Continuous sampling plans for markov-dependent production processes
• Simple diagnostic tools for inverstigating linear trends in time series
• Sequential and systematic sampling plans for the Markov-dependent production process
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