7be300f0807ecb6827a8 · Estimating Common Vector Parameters in Interlaboratory Studies

{
  "title_en": "Estimating Common Vector Parameters in Interlaboratory Studies",
  "designation": "",
  "series": "",
  "status": "",
  "date": "2007-03-13",
  "date_original": "March 13, 2007",
  "url": "https://www.nist.gov/publications/estimating-common-vector-parameters-interlaboratory-studies",
  "source": "NIST Publications",
  "display_en": "",
  "authors_en": "Andrew L. Rukhin",
  "abstract_excerpt_en": "The primary goal of this work is to extend two methodsof random effects models to multiparameter situation. These methods comprise the DerSimonian-Laird estimator, arising in the meta-analysis, and the Mandel-Paule algorithm widely used in interlaboratory",
  "id": "7be300f0807ecb6827a8",
  "sources": [
    "NIST Publications"
  ],
  "source_records": [
    {
      "title_en": "Estimating Common Vector Parameters in Interlaboratory Studies",
      "designation": "",
      "series": "",
      "status": "",
      "date": "2007-03-13",
      "date_original": "March 13, 2007",
      "url": "https://www.nist.gov/publications/estimating-common-vector-parameters-interlaboratory-studies",
      "source": "NIST Publications",
      "display_en": "",
      "authors_en": "Andrew L. Rukhin",
      "abstract_excerpt_en": "The primary goal of this work is to extend two methodsof random effects models to multiparameter situation. These methods comprise the DerSimonian-Laird estimator, arising in the meta-analysis, and the Mandel-Paule algorithm widely used in interlaboratory"
    }
  ],
  "translation_state": "none"
}