{
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  "date_created": "2026-03-02T18:00:29.371000Z",
  "date_modified": "2026-03-02T18:00:29.371000Z",
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  "record": {
    "abstract": "A simple criterion is presented for a practical construction of generalized\nmoments that allow one to approach the theoretical Rao-Cramer limit for\nparameter estimation while avoiding the complexity of the maximum likelihood\nmethod in the cases of complicated probability distributions and/or very large\nevent samples.",
    "arxiv_id": "physics/0001019",
    "authors": [
      "Fyodor V. Tkachov"
    ],
    "categories": [
      "physics.data-an",
      "hep-ph"
    ],
    "journal_ref": "Part.Nucl.Lett. 111 (2002) 28-35",
    "title": "Approaching the parameter estimation quality of maximum likelihood via   generalized moments",
    "url": "https://arxiv.org/abs/physics/0001019"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "1910c19d-5a31-4b6e-9e27-2a1a66f6f63d",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}