This asynchronous course addresses the basic theory behind Statistical Process Control (SPC), a method used in monitoring and controlling the quality of a process through statistical analysis to ...

Statistical process control (SPC) charts provide a natural approach to analysing time series data for healthcare quality improvement (QI) initiatives. A problem arising in practice is that having ...

Process variability is inherent in metal additive manufacturing (AM). However, it is often overlooked in process optimization frameworks, constraining the understanding of process uncertainties and ...

Abstract: Statistical Process Control and control charts, long-established quality control methodologies in manufacturing and process industries, have recently emerged as powerful tools for monitoring ...

Abstract: In this paper, we present a robust multivariate statistical process control chart using kernel principal component analysis. The proposed control chart is effective in the detection of ...

The analysis of covariance (Ancova) is a widely used statistical technique for the comparison of groups with respect to a quantitative dependent variable in such a way that the comparison takes into ...

Process control charts are an important application of statistical process control (SPC) that are used in the management of processes in various industries with the aim of maintaining consistency, ...

Bolsters Capabilities with Automated Data Collection from Inspection Equipment and Quality Analytics State College, PA, March 18, 2025 (GLOBE NEWSWIRE) -- Minitab, LLC, the market leader in data ...

Hypothesis validation is fundamental in scientific discovery, decision-making, and information acquisition. Whether in biology, economics, or policymaking, researchers rely on testing hypotheses to ...