Definition of binomial distribution in English:

binomial distribution

noun

Statistics

A frequency distribution of the possible number of successful outcomes in a given number of trials in each of which there is the same probability of success.
〔统计〕二项分布
Example sentencesExamples
- Then Y follows a binomial distribution with number of trials n and probability of success P = C (here expressed as a decimal between 0 and 1).
- As and get larger, the distribution becomes closer to a Gaussian, although it is always flatter than the binomial distribution with success probability and independent outcomes.
- Such a ‘rate’ can be modeled statistically by the probability parameter of a binomial distribution.
- Full-sib family sizes in a sample are assumed to follow either a Poisson distribution with parameter or a negative binomial distribution with parameters (probability of success) and (number of successes).
- The random component of our generalized linear model is the binomial distribution with probability of success equal to [theta].

Definition of binomial distribution in US English:

binomial distribution

noun

Statistics

A frequency distribution of the possible number of successful outcomes in a given number of trials in each of which there is the same probability of success.
〔统计〕二项分布
Example sentencesExamples
- The random component of our generalized linear model is the binomial distribution with probability of success equal to [theta].
- Then Y follows a binomial distribution with number of trials n and probability of success P = C (here expressed as a decimal between 0 and 1).
- Full-sib family sizes in a sample are assumed to follow either a Poisson distribution with parameter or a negative binomial distribution with parameters (probability of success) and (number of successes).
- Such a ‘rate’ can be modeled statistically by the probability parameter of a binomial distribution.
- As and get larger, the distribution becomes closer to a Gaussian, although it is always flatter than the binomial distribution with success probability and independent outcomes.

单词	binomial distribution
释义	Definition of binomial distribution in English: binomial distribution noun Statistics A frequency distribution of the possible number of successful outcomes in a given number of trials in each of which there is the same probability of success. 〔统计〕二项分布 Example sentencesExamples Then Y follows a binomial distribution with number of trials n and probability of success P = C (here expressed as a decimal between 0 and 1). As and get larger, the distribution becomes closer to a Gaussian, although it is always flatter than the binomial distribution with success probability and independent outcomes. Such a ‘rate’ can be modeled statistically by the probability parameter of a binomial distribution. Full-sib family sizes in a sample are assumed to follow either a Poisson distribution with parameter or a negative binomial distribution with parameters (probability of success) and (number of successes). The random component of our generalized linear model is the binomial distribution with probability of success equal to [theta]. Definition of binomial distribution in US English: binomial distribution noun Statistics A frequency distribution of the possible number of successful outcomes in a given number of trials in each of which there is the same probability of success. 〔统计〕二项分布 Example sentencesExamples The random component of our generalized linear model is the binomial distribution with probability of success equal to [theta]. Then Y follows a binomial distribution with number of trials n and probability of success P = C (here expressed as a decimal between 0 and 1). Full-sib family sizes in a sample are assumed to follow either a Poisson distribution with parameter or a negative binomial distribution with parameters (probability of success) and (number of successes). Such a ‘rate’ can be modeled statistically by the probability parameter of a binomial distribution. As and get larger, the distribution becomes closer to a Gaussian, although it is always flatter than the binomial distribution with success probability and independent outcomes.
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