bernoulli distribution

  • 121Mean difference — The mean difference is a measure of statistical dispersion equal to the average absolute difference of two independent values drawn from a probability distribution. A related statistic is the relative mean difference, which is the mean difference …

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  • 122Rule of succession — In probability theory, the rule of succession is a formula introduced in the 18th century by Pierre Simon Laplace in the course of treating the sunrise problem.The formula is still used, particularly to estimate underlying probabilities for… …

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  • 123Задача о разорении игрока — Задача о разорении игрока  задача из области теории вероятностей. Подробно рассматривалась российским математиком А. Н. Ширяевым в монографии «Вероятность»[1] …

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  • 124binomialdistribution — binomial distribution n. The frequency distribution of the probability of a specified number of successes in an arbitrary number of repeated independent Bernoulli trials. Also called Bernoulli distribution. * * * …

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  • 125List of probability distributions — Many probability distributions are so important in theory or applications that they have been given specific names.Discrete distributionsWith finite support* The Bernoulli distribution, which takes value 1 with probability p and value 0 with… …

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  • 126Convergence of random variables — In probability theory, there exist several different notions of convergence of random variables. The convergence of sequences of random variables to some limit random variable is an important concept in probability theory, and its applications to …

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  • 127Sample size — The sample size of a statistical sample is the number of observations that constitute it. It is typically denoted n , a positive integer (natural number).Typically, all else being equal, a larger sample size leads to increased precision in… …

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  • 128Lexis ratio — The Lexis ratio is used in statistics as a measure which seeks to evaluate differences between the statistical properties of random mechanisms where the outcome is two valued mdash; for example success or failure , win or lose . The idea is that… …

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