Advanced Statistical Process Monitoring
Description: This cluster of papers focuses on the application of statistical process control (SPC) in research and healthcare improvement. It covers topics such as control charts, multivariate monitoring, quality assurance, linear profiles, change-point detection, process capability indices, risk-adjusted charts, and profile monitoring in the context of healthcare and public health surveillance.
Characteristic keywords: statistical process control, control charts, change point detection, average run length, statistical quality control, acceptance sampling, process capability index, Shewhart control charts, EWMA control chart, process capability, control limits, control chart design, multivariate control charts, mean shift detection, CUSUM control chart, X-bar control chart, multivariate statistical process control, CUSUM, process capability analysis, acceptance sampling plans, change point estimation, economic design of control charts, statistical process monitoring, nonparametric control charts, small shift detection
Sibling topics: scientometrics and bibliometrics research, Meta-analysis and systematic reviews, Probabilistic and Robust Engineering Design, Risk and Safety Analysis, Scientific Measurement and Uncertainty Evaluation, Reliability and Agreement in Measurement, Innovative Education Methods and Tools, Multidisciplinary Science and Engineering Research
Parent subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
OpenAlex ID: T11443