Statistical TestsΒΆ

This section describes the main statistical tests and scoring rules used in PQC detectors, with practical interpretation and caveats.

  • OU Innovations
    • What it is
    • Why PQC uses it
    • Discrete innovation form used in PQC
    • Interpretation
    • Assumptions and caveats
    • Small worked example
    • References
  • Benjamini-Hochberg FDR
    • What it is
    • FDR definition
    • BH procedure (used by PQC)
    • Why PQC uses it
    • Assumptions and caveats
    • Small worked example
    • References
  • MAD-Based Robust Scores
    • What it is
    • Definitions
    • Why PQC uses it
    • Interpretation
    • Assumptions and caveats
    • Small worked example
    • References
  • Delta-Chi2 Model Comparison
    • What it is
    • Why PQC uses it
    • Weighted least-squares context
    • Interpretation
    • Assumptions and caveats
    • Small worked example
    • References
  • Detector-to-Statistic Mapping
    • Summary table
    • Detailed mapping notes
    • Common caveats across detectors
    • References

pqc

Navigation

Contents:

  • Overview
  • Installation
  • Quickstart
  • Concepts
  • Statistical Tests
    • OU Innovations
    • Benjamini-Hochberg FDR
    • MAD-Based Robust Scores
    • Delta-Chi2 Model Comparison
    • Detector-to-Statistic Mapping
  • Command line
  • Examples
  • FAQ
  • API Reference

Related Topics

  • Documentation overview
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    • Next: OU Innovations
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