Sensitivity Analyses of the Economic and Economic Statistical Designs of the Multivariate SyntheticT2Chart

DOI10.1080/03610918.2014.908215zbMath1346.62171OpenAlexW2019228537MaRDI QIDQ2821018

Michael B. C. Khoo, Philippe Castagliola, W. C. Yeong, Mohammad Shamsuzzaman

Publication date: 16 September 2016

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

Full work available at URL: https://doi.org/10.1080/03610918.2014.908215

zbMATH Keywords

optimal costfractional factorial designanalysis of varianceinteraction effectsstatistical constraints

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30) Factorial statistical designs (62K15)

Related Items (1)

Control charts for monitoring multi-stage service processes with optimal queue performance

Cites Work

• Economic and economic statistical designs of the synthetic \(\overline{X}\) chart using loss functions
• Economic Design of Cumulative Sum Control Charts for Monitoring a Process with Correlated Samples
• The Design of the Multivariate Synthetic Exponentially Weighted Moving Average Control Chart
• A Multivariate Synthetic Control Chart for Monitoring the Process Mean Vector of Skewed Populations Using Weighted Standard Deviations
• A Multivariate Synthetic Control Chart for Monitoring Process Mean Vector
• An Extension of Banerjee and Rahim's Model for an Economic X-Bar Control Chart for Non-Normally Distributed Data Under Gamma Failure Models
• Exact economic design of X¯ charts for general time in-control distributions
• Control Charts for Monitoring Burr Type-X Percentiles
• A New Adaptive Variable Sample Size Approach in EWMA Control Chart
• A Multivariate Group Runs Control Chart for Process Dispersion
• A Parameter-Tuned Genetic Algorithm for Economic-Statistical Design of Variable Sampling Interval X-Bar Control Charts for Non-Normal Correlated Samples
• Economically Optimal Design of a Multivariate SyntheticT²Chart
• The Design and Performance of the Multivariate Synthetic-T²Control Chart

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