{
  "abstract": "Probability distributions are a key component of clinical research. One only has to make a cursory review of clinical literature to realize that nearly all clinical publications reference some sort of statistical test; be it t-test, chi-squared test, or F-test. In this paper, we describe an architecture for providing the Insight Toolkit with access to probability distributions. The architecture can support parametric and nonparametric probability distributions. Each distribution provides access to its probability density function (PDF), cumulative distribution function (CDF), inverse cumulative distribution function (inverse CDF), mean, and variance. These methods form the basis of statistical tests.",
  "authors": [
    {
      "author_fullname": "Miller, James",
      "author_place": 1,
      "persona_email": "millerjv@research.ge.com",
      "persona_firstname": "James",
      "persona_id": 232,
      "persona_lastname": "Miller"
    }
  ],
  "categories": [],
  "comments": [],
  "date_submitted": "2006-01-05T21:19:30Z",
  "journals": [
    {
      "journal_id": 3,
      "journal_name": "The Insight Journal"
    }
  ],
  "license": "You are licensing your work to Kitware Inc. under the\nCreative Commons Attribution License Version 3.0.\n\nKitware Inc. agrees to the following:\n\nKitware is free\n * to copy, distribute, display, and perform the work\n * to make derivative works\n * to make commercial use of the work\n\nUnder the following conditions:\n\\\"by Attribution\\\" - Kitware must attribute the work in the manner specified by the author or licensor.\n\n * For any reuse or distribution, they must make clear to others the license terms of this work.\n * Any of these conditions can be waived if they get permission from the copyright holder.\n\nYour fair use and other rights are in no way affected by the above.\n\nThis is a human-readable summary of the Legal Code (the full license) available at\nhttp://creativecommons.org/licenses/by/3.0/legalcode",
  "publication_id": 68,
  "reviews": [],
  "revisions": [
    {
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      "doi": "10.54294/kawnxk",
      "handle": "1926/159",
      "source_code": "bafybeifebuneuhrog3c2ipckkpkxmfy2ljef66v6cl5milsrnchy5l2mta",
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  "submitted_by_author": {
    "author_email": "millerjv@research.ge.com",
    "author_firstname": "James",
    "author_fullname": "Miller, James",
    "author_id": 232,
    "author_institution": "GE Research",
    "author_lastname": "Miller"
  },
  "tags": [
    "distribution",
    "probability",
    "test",
    "statistic"
  ],
  "title": "Probability Distributions for the Insight Toolkit"
}