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.
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.
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.

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. 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. 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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