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单词 equiprobable
释义

Definition of equiprobable in English:

equiprobable

adjective ɛːkwɪˈprɒbəb(ə)liːkwɪˈprɒbəb(ə)lˌekwə-
Mathematics Logic
  • (of two or more things) equally likely to occur; having equal probability.

    〔数,逻〕(两个或多个事物)等概率的;等盖然性的

    Example sentencesExamples
    • Participants were randomly assigned by an ‘adaptive biased coin’ technique, rather than simple equiprobable randomisation, to ensure balance of group numbers.
    • Assuming equiprobable digits, I have reduced your level of uncertainty by a factor of eight.
    • Compared to the maximum-likelihood estimator under the equiprobable population, this estimator is very efficient.
    • To make the method tractable, we approximate this distribution by six equiprobable rate categories.
    • The method remains unbiased as long as the base composition is balanced: failures are equiprobable for X Y and Y X actual changes.

Derivatives

  • equiprobability

  • noun iːkwɪprɒbɪˈbɪlɪtiɛkwɪprɒbɪˈbɪlɪti
    Mathematics Logic
    • E increases with both the number of categories (residues at a site) and their equiprobability.
      Example sentencesExamples
      • Analyses of such a sample require weighting cases to produce the equivalent of equiprobability, which allows one to produce unbiased estimates of parameters describing the population from which the sample was drawn.
      • Within the selected age range, one child was selected on an equiprobability basis to generate a total screening sample of 4,500 children.

Definition of equiprobable in US English:

equiprobable

adjectiveˌekwə-
Logic Mathematics
  • (of two or more things) equally likely to occur; having equal probability.

    〔数,逻〕(两个或多个事物)等概率的;等盖然性的

    Example sentencesExamples
    • Assuming equiprobable digits, I have reduced your level of uncertainty by a factor of eight.
    • Compared to the maximum-likelihood estimator under the equiprobable population, this estimator is very efficient.
    • To make the method tractable, we approximate this distribution by six equiprobable rate categories.
    • The method remains unbiased as long as the base composition is balanced: failures are equiprobable for X Y and Y X actual changes.
    • Participants were randomly assigned by an ‘adaptive biased coin’ technique, rather than simple equiprobable randomisation, to ensure balance of group numbers.
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更新时间:2024/9/21 13:24:53