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- In probability theory and statistics, there are several relationships among probability distributions. These relations can be categorized in the following...21 KB (2,366 words) - 21:43, 18 January 2024
- Many probability distributions that are important in theory or applications have been given specific names. The Bernoulli distribution, which takes value...22 KB (2,609 words) - 12:49, 10 February 2024
- convolution of their individual distributions. The term is motivated by the fact that the probability mass function or probability density function of a sum...6 KB (1,451 words) - 23:36, 12 September 2023
- exponential distribution is not the same as the class of exponential families of distributions. This is a large class of probability distributions that includes...42 KB (6,567 words) - 10:39, 19 June 2024
- entropy probability distribution has entropy that is at least as great as that of all other members of a specified class of probability distributions. According...36 KB (4,530 words) - 18:41, 4 July 2024
- for discrete-stable distributions. Under a Poisson distribution with the expectation of λ events in a given interval, the probability of k events in the...81 KB (11,263 words) - 16:57, 13 August 2024
- ;\beta )=(n+1)B(k;n;p)} Beta distributions also provide a family of prior probability distributions for binomial distributions in Bayesian inference: P (...51 KB (7,514 words) - 12:23, 19 August 2024
- In probability theory and statistics, the negative binomial distribution is a discrete probability distribution that models the number of failures in a...57 KB (8,530 words) - 13:34, 18 July 2024
- In probability theory and statistics, the beta distribution is a family of continuous probability distributions defined on the interval [0, 1] or (0, 1)...243 KB (40,380 words) - 08:10, 19 June 2024
- In probability theory and statistics, the continuous uniform distributions or rectangular distributions are a family of symmetric probability distributions...27 KB (4,215 words) - 12:32, 22 August 2024
- variables with zero mean. Two other distributions often used in test-statistics are also ratio distributions: the t-distribution arises from a Gaussian random...53 KB (10,532 words) - 08:14, 25 April 2024
- Benford's law (redirect from Benford distribution)half-normal distributions does. Neither the right-truncated normal distribution nor the ratio distribution of two right-truncated normal distributions are well...64 KB (7,285 words) - 18:50, 12 August 2024
- List of statistics articles (redirect from Probability Applications)theory) Reification (statistics) Rejection sampling Relationships among probability distributions Relative change and difference Relative efficiency –...87 KB (8,280 words) - 14:50, 5 July 2024
- In probability theory and statistics, the beta-binomial distribution is a family of discrete probability distributions on a finite support of non-negative...14 KB (2,206 words) - 22:47, 29 July 2024
- a Boltzmann distribution (also called Gibbs distribution) is a probability distribution or probability measure that gives the probability that a system...20 KB (2,478 words) - 14:40, 11 July 2024
- Pareto distribution, named after the Italian civil engineer, economist, and sociologist Vilfredo Pareto, is a power-law probability distribution that is...47 KB (6,046 words) - 20:48, 3 August 2024
- Power law (redirect from Power law distributions)power-law distributions are also called Pareto-type distributions.) It is assumed here that a random sample is obtained from a probability distribution, and...61 KB (7,909 words) - 20:22, 26 June 2024
- In probability theory and statistics, the Dirichlet-multinomial distribution is a family of discrete multivariate probability distributions on a finite...39 KB (6,950 words) - 22:48, 12 August 2024
- that the expected probability of seeing a category i among the various discrete distributions generated by the posterior distribution is simply equal to...25 KB (4,008 words) - 04:13, 25 June 2024
- beta distribution, hence its alternative name of multivariate beta distribution (MBD). Dirichlet distributions are commonly used as prior distributions in...41 KB (6,539 words) - 11:38, 8 August 2024
- portion of the Tertiary period is self-evident. The interpretation of its relationships with other regions is, however, exceedingly difficult. It is generally
- problem... namely to calculate the probability of state distributions from the number of different distributions. We want first to treat as simple a
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