G. Bandner
Papers
1
Total Citations
2
H-Index
1
About
G. Bandner’s research focuses on the intersection of statistical process control (SPC) and change point detection, with a particular emphasis on monitoring process variance. In their most-cited work, "Detecting a change in a scale parameter – a combination of SPC and change point procedures" (2007), Bandner bridges two traditionally separate fields—statistical methods like Cumulative Sum (CUSUM) and Likelihood Ratio Test (LRT) with SPC tools such as Moving Range (MR) and Exponentially Weighted Mean—through an extensive simulation study. This comparative analysis provides practical insights for quality control practitioners, highlighting when each approach is most effective for detecting shifts in scale parameters. While Bandner’s citation count (2) reflects a specialized audience, the work’s value lies in its methodological synthesis and clear guidance for real-world monitoring. By systematically evaluating these procedures, Bandner contributes to more robust decision-making in manufacturing and industrial settings, where early detection of variance changes is critical. This research remains a useful reference for those seeking to integrate statistical rigor with applied SPC techniques.
Research Focus
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Top Papers
- 1