"geometric distribution" meaning in All languages combined

{
  "categories": [
    {
      "kind": "other",
      "name": "有1個詞條的頁面",
      "parents": [],
      "source": "w"
    },
    {
      "kind": "other",
      "name": "有詞條的頁面",
      "parents": [],
      "source": "w"
    },
    {
      "kind": "other",
      "name": "英語可數名詞",
      "parents": [],
      "source": "w"
    },
    {
      "kind": "other",
      "name": "英語名詞",
      "parents": [],
      "source": "w"
    },
    {
      "kind": "other",
      "name": "英語詞元",
      "parents": [],
      "source": "w"
    }
  ],
  "forms": [
    {
      "form": "geometric distributions",
      "tags": [
        "plural"
      ]
    }
  ],
  "lang": "英語",
  "lang_code": "en",
  "pos": "noun",
  "pos_title": "名詞",
  "senses": [
    {
      "categories": [
        {
          "kind": "other",
          "name": "有引文的英語詞",
          "parents": [],
          "source": "w"
        },
        {
          "kind": "other",
          "name": "英語引文翻譯請求",
          "parents": [],
          "source": "w"
        }
      ],
      "examples": [
        {
          "ref": "1973, Elizabeth M. Gammon, “A Syntactical Analysis of Some First-Grade Readers”, 出自 Approaches to Natural Language: Proceedings of the 1970 Stanford Workshop on Grammar and Semantics, Springer，第 122 頁:",
          "text": "If S₁ had been chosen to be a geometric distribution, no a priori choices would have been necessary. This distribution was effective in Suppes (1970), but it would provide a poor fit in this case. If the geometric distribution had been used here, the parameter S₁ would have appeared in every theoretical probability involving N, and whenever one or more adjectives were included, a corresponding number of S₂ = 1 - S₁ terms would have appeared in the probability."
        },
        {
          "ref": "2009, Matthew J. Hassett, Donald Stewart, Probability for Risk Management, 2nd Edition, ACTEX Publications, page 139,",
          "text": "Recall that we have already calculated the mean and variance for the geometric distribution case (r = 1) in Example 5.17."
        },
        {
          "ref": "2010, Peter A. Rogerson, Statistical Methods for Geography: A Student's Guide, 3rd版, SAGE Publications，第 92 頁:",
          "text": "The exponential distribution has a number of other interesting characteristics and properties. It is very similar to the geometric distribution, and in fact is the continuous version of that discrete distribution. Recall that the geometric distribution was used to model the time until the first success, where there were a discrete number of trials."
        }
      ],
      "glosses": [
        "幾何分佈"
      ],
      "id": "zh-geometric_distribution-en-noun-zsBgZPDN"
    }
  ],
  "word": "geometric distribution"
}

{
  "categories": [
    "有1個詞條的頁面",
    "有詞條的頁面",
    "英語可數名詞",
    "英語名詞",
    "英語詞元"
  ],
  "forms": [
    {
      "form": "geometric distributions",
      "tags": [
        "plural"
      ]
    }
  ],
  "lang": "英語",
  "lang_code": "en",
  "pos": "noun",
  "pos_title": "名詞",
  "senses": [
    {
      "categories": [
        "有引文的英語詞",
        "英語引文翻譯請求"
      ],
      "examples": [
        {
          "ref": "1973, Elizabeth M. Gammon, “A Syntactical Analysis of Some First-Grade Readers”, 出自 Approaches to Natural Language: Proceedings of the 1970 Stanford Workshop on Grammar and Semantics, Springer，第 122 頁:",
          "text": "If S₁ had been chosen to be a geometric distribution, no a priori choices would have been necessary. This distribution was effective in Suppes (1970), but it would provide a poor fit in this case. If the geometric distribution had been used here, the parameter S₁ would have appeared in every theoretical probability involving N, and whenever one or more adjectives were included, a corresponding number of S₂ = 1 - S₁ terms would have appeared in the probability."
        },
        {
          "ref": "2009, Matthew J. Hassett, Donald Stewart, Probability for Risk Management, 2nd Edition, ACTEX Publications, page 139,",
          "text": "Recall that we have already calculated the mean and variance for the geometric distribution case (r = 1) in Example 5.17."
        },
        {
          "ref": "2010, Peter A. Rogerson, Statistical Methods for Geography: A Student's Guide, 3rd版, SAGE Publications，第 92 頁:",
          "text": "The exponential distribution has a number of other interesting characteristics and properties. It is very similar to the geometric distribution, and in fact is the continuous version of that discrete distribution. Recall that the geometric distribution was used to model the time until the first success, where there were a discrete number of trials."
        }
      ],
      "glosses": [
        "幾何分佈"
      ]
    }
  ],
  "word": "geometric distribution"
}