A study of multivariate (X̄, S) simultaneous control chart based on Kullback-Leibler information

Mathematics

• Kullback-Leibler Information 100%
• Control Charts 73%
• Surveillance 54%
• Random variable 39%
• Variance-covariance Matrix 34%
• Monitor 32%
• Multivariate Normal 30%
• Univariate 24%
• Multivariate Control Charts 20%
• Data Acquisition 20%
• Process Monitoring 19%
• Evaluation 10%

Business & Economics

• Quality Characteristics 85%
• Control Charts 84%
• Random Variables 56%
• Surveillance 47%
• Covariance Matrix 31%
• Multivariate Control Charts 24%
• Process Monitoring 18%
• Process Variables 18%
• Technology Use 15%
• Evaluation 7%

Engineering & Materials Science

• Control charts 85%
• Random variables 57%
• Covariance matrix 28%
• Process monitoring 15%
• Data acquisition 11%