Bernoulli distribution is a discrete probability distribution where the Bernoulli random variable can have only 0 or 1 as the outcome . p is the probability of success and 1 - p is the probability of failure. The mean of a Bernoulli distribution is E[X] = p and the variance, Var[X] = p(1-p).
| Распределение Бернулли |  |
Распределе́ние Берну́лли в теории вероятностей и математической статистике — дискретное распределение вероятностей, моделирующее случайный эксперимент произвольной природы, при заранее известной вероятности успеха или неудачи. Википедия
The Bernoulli distribution is a discrete probability distribution that models a binary outcome for one trial. Use it for binary variables. |
A Bernoulli trial is an experiment that has two possible outcomes, a success and a failure. We denote the probability of success by p p and the probability ... |
The Bernoulli distribution is a discrete distribution having two possible outcomes labelled by n=0 and n=1 in which n=1 ("success") occurs with probability p. |
The Bernoulli distribution is the most basic discrete distribution. A variable that follows the distribution can take one of two possible values. |
A Bernoulli distribution is a discrete probability distribution for a Bernoulli trial — a random experiment that has only two outcomes (usually called a “ ... |
What Is a Bernoulli Distribution? A Deep Dive - DataCamp www.datacamp.com › Tutorials › Data Science
22 авг. 2024 г. · A Bernoulli distribution is a discrete probability distribution that models a random variable with only two possible outcomes. |
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