Statistical testing
Normality testing, distribution fitting, and data diagnostics intended for practical engineering decision-making rather than black-box output.
Analytical Tools
Practical statistical tools for quality engineering, process monitoring, capability analysis, and structured data workflows. The long-term direction is a platform that connects traditional SPC methods with advanced Tensor-Structured SPC concepts.
Stat-Forge is being developed as an applied analytics environment for engineers and analysts who need clear statistical output, repeatable workflows, and publication- or report-ready results.
The goal is not only to run calculations, but to help users understand what the results mean in the context of process behavior, quality risk, and structured manufacturing data.
Future tooling will emphasize interpretable diagnostics, including T²/Q monitoring spaces, residual heatmaps, control charts, and exportable reports.
Normality testing, distribution fitting, and data diagnostics intended for practical engineering decision-making rather than black-box output.
Capability analysis, control charts, process summaries, and visual diagnostics for routine manufacturing and quality monitoring workflows.
Tensor SPC demonstration workflows for data with natural structure, such as variable × time, sensor × time, or feature × condition measurements.
Who it is for
Direction
The planned direction is a browser-based analytical workspace that supports both classical quality tools and modern structured-data monitoring. The Tensor SPC work provides the research foundation for future modules aimed at high-dimensional process data.
As the app matures, this page will become the public launch point for demos, screenshots, documentation, and access to the live application.
Planned modules
Application access
A live version of the Stat-Forge application will be linked here when it is ready for public use. Until then, the research monograph and educational pages describe the methods and direction of the platform.
Ask about the project