binomial probability 中文意思是什麼

binomial probability 解釋
二項概率
  • binomial : adj. 1. 【數學】二項(式)的。2. 【生物學】雙名的,復名的。n. 1. 【數學】二項式。2. 【生物學】二名法,雙名法。
  • probability : n 1 或有;或然性。2 【哲學】蓋然性〈在 certainly 和 doubt 或 posibility 之間〉。3 【數學】幾率,...
  1. Ruin probability of the double negative binomial risk model

    雙負二項風險模型的破產概率
  2. Using its probability statistical approach, this paper analyzes the uncertainty distribution of net pay thickness and permeability in the reservoir, researches the impart of geologic parameter uncertainty on gas well binomial productivity equation

    應用概率統計法,分析了儲集層有效厚度、滲透率的不確定性分佈,研究了地質參數不確定性對氣井二項式產能方程的影響。
  3. Through a probability problem, a connection is showed between binomial distribution and negative binomial distribution and therefore a composed formula is set up, which is proved by way of probability and algebra

    摘要通過一個概率問題,給出二項分佈與負二項分佈的一種聯系,從而建立一個組合公式,並由概率思維方式與代數方式給出證明。
  4. Binomial probability paper

    二項式概率坐標紙
  5. The application of statistics function of excel may simplify complicated binomial distribution probability counting and normal distribution probability counting, and at the sme time, many statistics functions can be connected together with some counting signs to make statistics analysis process which can be applied to much more complicated statistics counting and analysis

    摘要利用excel的統計函數可以使復雜的二項分佈概率計算和正態分佈概率計算變得簡單,同時,可以利用計算符號把多個統計函數連接起來,製成統計分析程序,用於比較大的復雜的統計計算和分析。
  6. The six sigma black belt should be familiar with the commonly used probability, including : hypergeometric, binomial, poisson, normal, exponential, chi - square, student ' s t, and f

    譯文:六西格瑪黑帶應該熟悉常用的概率分佈,包括超幾何分佈、二項式分佈、泊松分佈、下態分佈、指數分佈、卡方分佈、學者t分佈和f分佈。
  7. The six sigma black belt should be familiar with the commonly used probability distributions, including : hypergeometric, binomial, poisson, normal, exponential, chi - square, student ' s t, and f

    6西格瑪黑帶應熟悉常用的概率分佈,包括超幾何分佈、二項式分佈、泊松分佈、正態分佈、指數分佈、卡方分佈、學者t分佈和f分佈。
  8. Binomial distribution probability

    二項式分佈概率
  9. The unit includes topics such as basic probability and random variables, data summarization and display, data quality, probability models for data including the normal, poisson, binomial and sampling distributions and their important properties

    本課程課程包括基本概率和隨機變量、數據摘要和顯示、數據質量、數據概率模型(常規、非常規、二項式和樣本分類和它的重要屬性。
  10. By using this method, we deduced the probability generating function of the binomial distribution in the markov dependent sequence

    利用這一方法推導了在馬氏相關序列下的二項分佈的概率函數。
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