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Interlab: A python module for consensus analysis in interlaboratory studies

A python module for consensus analysis in interlaboratory studies

About this Dataset

Updated: 2024-02-22
Metadata Last Updated: 2018-09-13 00:00:00
Date Created: N/A
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interlaboratory study
Dataset Owner: N/A

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Title Interlab: A python module for consensus analysis in interlaboratory studies
Description A python module for consensus analysis in interlaboratory studies
Modified 2018-09-13 00:00:00
Publisher Name National Institute of Standards and Technology
Contact mailto:david.sheen@nist.gov
Keywords interlaboratory study , uncertainty analysis , outlier detection
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    "identifier": "75C6467F8B205670E05324570681995A1967",
    "accessLevel": "public",
    "references": [
        "https:\/\/doi.org\/10.1016\/j.chemolab.2016.12.010",
        "https:\/\/doi.org\/10.1007\/s00216-018-1240-2"
    ],
    "contactPoint": {
        "hasEmail": "mailto:david.sheen@nist.gov",
        "fn": "David Sheen"
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    "description": "A python module for consensus analysis in interlaboratory studies",
    "language": [
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    "title": "Interlab: A python module for consensus analysis in interlaboratory studies",
    "distribution": [
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            "accessURL": "https:\/\/pages.nist.gov\/interlab_py\/",
            "format": "Python module",
            "description": "A python module for consensus analysis in interlaboratory studies",
            "title": "Interlab"
        },
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            "format": "text\/html",
            "description": "DOI Access to Interlab: A python module for consensus analysis in interlaboratory studies",
            "title": "DOI Access to Interlab: A python module for consensus analysis in interlaboratory studies"
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    "license": "https:\/\/www.nist.gov\/open\/license",
    "bureauCode": [
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    ],
    "modified": "2018-09-13 00:00:00",
    "publisher": {
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        "name": "National Institute of Standards and Technology"
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    "accrualPeriodicity": "irregular",
    "theme": [
        "Information Technology:Software research",
        "Mathematics and Statistics"
    ],
    "keyword": [
        "interlaboratory study",
        "uncertainty analysis",
        "outlier detection"
    ]
}

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