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ijoc-data-analysis

separate

Use when running and reporting the computational experiments — and assembling the reproducible code/data deposit — for an INFORMS Journal on Computing (IJOC) manuscript. Turns a designed protocol (see ijoc-methods) into defensible, reproducible results; it does not redesign the experiment.

When to use

• running experiments and interpreting results
• validating performance wins against tuning, seed, or benchmark artifacts
• generating statistical comparisons like performance profiles and nonparametric tests
• assembling the IJOC GitHub Software and Data Repository deposit
• reporting scaling evidence and equal-effort comparisons
• executing statistical checks via StatsPAI or Stata MCP

When not to use

• redesigning the experiment
• algorithm design
• causal-inference chains for non-empirical-evaluation papers

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